Databricks Jobs in London.
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About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About The Role
Have you got a knack for explaining technical concepts? Do you want to work closely with big-name companies to solve some of their toughest problems? We’re looking for a Solutions Engineer who loves teaching people, solving problems, and wants to be a major factor in adding to the list of our biggest customers. You’d be joining a team of talented solutions engineers that love going deep into customer’s problems, finding ways to innovate in the ways customers use data, and making life easier for people. We care deeply about our users and partners, and we judge ourselves on how well we serve them.
We partner with our Account Executives by removing technical and business-related obstacles in front of a sale, advocating for customer interests to relevant internal teams, and creating compelling technical content. We get excited talking to data engineers, product managers, marketers, and also know how to distill technical concepts to our buyers. We’re here to make our customers’ lives easier by providing them with the right solutions for their challenges in customer data strategy and architecture.
Solutions Engingeers at Hightouch frequently work with both technical and non-technical stakeholders to understand their problems and craft creative technical solutions with them. We’re open to candidates with a variety of backgrounds.
What We're Looking For
- 4+ years sales experience
- Strong discovery and interpersonal skills
- Intellectual curiosity, high ambition and humility
- Experience selling Martech and/or Data Solutions
- Experience with the following: Cloud Warehouses, Data Engineering, Data Analytics, and Data Modeling, and API's
- This role requires professional proficiency in French, including both written and verbal communication
Bonus If You Have
- Experience with Customer Data Platforms
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. When evaluating compensation we focus on impact and potential for growth more than years of experience. Additionally, we offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
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Enterprise Account Executive, DACH
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About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About Hightouch
Hightouch’s mission is to empower everyone to take action on their data. We’ve pioneered the Composable Customer Data Platform (CDP), which helps companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and busisness operations. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.
Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
Hundreds of companies use Hightouch, including Spotify, Ramp, Grammarly, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.
About The Role
Hightouch is looking for an Enterprise Account Executive (EAE) to join our rapidly growing team. We’re a small team and looking for someone with at least 4 years of Sales experience. We are looking for a self-starter with a passion for technology and people.
The right candidate is someone who has a proven track record of success who is looking to further their career with a fast growing startup. The ideal person will be both coachable, have a strong work ethic and entrepreneurial spirit.
What We're Looking For
- 4+ years experience in complex enterprise SaaS sales
- Experience building pipeline through outbound and land and expand in the DACH region
- Must have fluent German language skills
- Must be based outside of Germany, in EMEA.
- Strong discovery and interpersonal skills
- Intellectual curiosity, high ambition and humility.
- Excellent verbal and written communication skills.
- Ability to adapt to an ever-changing work environment
- Be a self-starter
Bonus if you have
- Background in Martech and/or Data
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About Hightouch
Hightouch is the leading AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the rapid adoption of cloud data warehouses like Snowflake and Databricks. We pioneered the Composable Customer Data Platform (CDP) and have since expanded into AI Decisioning — allowing marketers to set goals and guardrails that AI agents use to personalize 1:1 customer interactions at scale.
We've become a recognized leader in the space: we recently surpassed $100M in ARR, were named a Leader in the Gartner Magic Quadrant, and raised our Series D — a testament to the momentum we're building and the trust our customers place in us. Over 1,000 companies, including Domino's, Spotify, Chime, Ramp, Whoop, Grammarly, and PetSmart, rely on Hightouch to power their growth.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
We're based in San Francisco with team members around the world, and backed by leading investors including Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.
What We're Looking For
- Someone with at least 3+ years of Mid-Market or Enterprise sales experience
- Experience with complex sales cycles into businesses over 2000 employees in EMEA
- Strong discovery and interpersonal skills
- Intellectual curiosity, high ambition and humility.
- Strong pipeline discipline in a land and expand motion
- Experience closing deals $50k ARR upwards
- Ability to adapt to an ever-changing work environment
- Thorough understanding of the technology industry and its players
- Experience in the Martech and/or Data space
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
Technical Account Manager - EMEA
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About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About The Role
As a Technical Account Manager in our EMEA region, you will become the bridge between Hightouch and our largest Fortune 5000 customers. You will oversee the entire customer journey starting from kick-off to onboarding to continued customer success and finally, increased adoption. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Hightouch platform to its fullest extent and beyond.
In this role, you strive to understand customer requirements and issues at the molecular level. No matter your background, you have a natural curiosity to uncover a customer’s use case and help navigate to the most elegant and efficient solution. Fundamentally, you are enamored with how a company can utilize data to its fullest extent. Utilizing this curiosity and knowledge, your goal is to guide the customer into their ideal future state as well as guide the innovation of the Hightouch platform as well.
What You’ll Do
- As a critical member of the Customer Success team you will be responsible for the retention and expansion our largest Enterprise customers
- You will be part of a team that will work closely with Sales to strategize on how to increase the adoption of Hightouch within large organizations
- From a technical perspective, your primary responsibilities will be to deliver a timely and organized onboarding for customers through effective project management, ensure customers see the full value in Hightouch’s products, and advise on technical best practices
- Provide customers with clear proactive technical guidance and expertise across all our products
- Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations
- Contribute towards the success of the Hightouch platform by surfacing use cases and problems to Engineering that push our product to the next level
What We're Looking For
- 5-10 years of experience in a client facing and / or technology focused role where business experience and technical acumen was combined
- Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy
- Excellent project management and communication skills
- Proven ability to quickly learn new technologies and understand complex systems (APIs, databases, reporting tools, etc.)
- Strong troubleshooting and problem solving skills with a continuous desire to improve your technical acumen
- Ability to collaborate cross functionally with different teams and types of people
- Ability to work under pressure, deadlines and navigate unexpected roadblocks with ease
- Proficiency of spoken and written English
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About The Role
Hightouch is looking for an Enterprise Account Executive to join our Southern Europe team as our first person on the ground in the Middle East. As part of our small but growing EMEA team, you'll play a key role in expanding our presence across the region. We're a small, high-impact team looking for someone with at least 4 years of enterprise sales experience who thrives in fast-paced, high-growth environments.
The right candidate is someone with a proven track record of closing complex deals who's excited to build their career with a fast-growing startup. You're coachable, bring a strong work ethic and entrepreneurial mindset, and are energized by the opportunity to shape our go-to-market strategy in MENA.
What We're Looking For
- 4+ years of enterprise sales experience in martech and/or data infrastructure
- Proven success in building a pipeline through strategic outbound and land-and-expand motions
- Experience selling to marketing and data personas
- Experience navigating complex, multi-stakeholder enterprise deals
- Strong discovery skills and ability to build executive-level relationships
- Intellectual curiosity, high ambition, and humility
- Excellent verbal and written communication skills in English & Arabic
- Ability to thrive in ambiguity and adapt to an ever-changing environment
- Self-starter mentality with the ability to work autonomously while collaborating across regions
Bonus If You Have
- Experience selling in Southern European markets
- Familiarity with the modern data stack (CDPs, data warehouses, reverse ETL)
- Track record of consistently exceeding quota in a high-growth startup environment
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About The Role
The Customer Success Engineering role is demanding and requires strong organizational skills and an ability to multitask. You’ll work directly with all users to ensure they can get the most value from the platform. This may include answering questions in Intercom, Slack, on the phone, or through email. The nature of the work is technical and requires an understanding of how to read API documentation, how the standard suite of SaaS tools work (e.g. CRMs, ESPs, ERPs, etc...), and the basic building blocks of customers use data.
The Customer Success Engineering role is also designed to provide broad exposure across the organization, including tight collaboration with Solutions Architects, Solutions Engineers, Marketing, Engineering, and Operations. The role is perfect for strong team players that want to have impact across the company and with our customers.
What You'll Do
The ideal candidate is hungry to learn, excited to cross-functionally collaborate, driven to deliver optimal customer experiences, and is excited to learn from and teach others. Hightouch is still a startup, which translates to pitching in across the organization and wearing many hats as we grow. You will be excited for an opportunity that allows you to be an important member of an exceptional company, be willing to ask questions when you’re unsure, and take initiative when you’re passionate about a topic/solution/process.
Finally, you’ll need to be a self-starter, comfortable with ambiguity, willing to challenge the status quo, and a strong team player. Everyone at Hightouch plays an important role in our growth and this position is at the forefront of our efforts to drive an exceptional for every user. We’re of the firm belief that keeping customers promises is how we’ll win and we’re excited for this role to play an integral part of the customer journey.
What We're Looking For
- 2+ years in a customer-facing role
- Technical background either through experience or education
- Conversant in SQL or willing to learn the basics and a few more advanced topics
- Strong discovery and interpersonal skills
- Intellectual curiosity, high ambition, and humility
- High proficiency in reading, writing, and speaking English
- Ability to adapt to an ever-changing work environment
- Thorough understanding of the technology industry and its players
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About The Role
As an Implementation Manager, you will be the force behind successful implementations at Hightouch. Working in close partnership with Technical Architects, you will own the full implementation and enablement lifecycle for Hightouch’s Mid-Market and Enterprise customers. You will be primarily responsible for executing the technical aspects of customer onboarding, ensuring seamless integration of Hightouch into customers' existing data infrastructure and working alongside the Technical Architect who owns the overall customer journey.
In this role, you will be the product expert who translates complex customer requirements into actionable implementation plans. You should have a natural ability to communicate technical concepts clearly to both data engineering teams and business stakeholders. As the primary owner of the implementation lifecycle, your focus is on creating repeatable, efficient implementation processes that scale across our customer base while maintaining the flexibility to address unique enterprise needs.
What You’ll Do
- Drive the onboarding process for customers, working closely with Technical Architects to ensure alignment between technical execution and customer success objectives
- Design and optimize implementation frameworks that can scale across different customer segments while accommodating enterprise-specific requirements
- Lead technical discovery sessions and implementation workshops, collaborating with customer data engineering teams and business stakeholders
- Create and maintain detailed technical documentation for implementations, including integration specifications, data models, and best practices
- Develop and execute implementation plans that minimize time-to-value while ensuring robust, sustainable solutions
- Partner with Technical Architects to identify and resolve technical blockers that could impact customer success
- Build relationships with technical stakeholders within customer organizations
- Contribute to product development by providing feedback to our engineering team
- Standardize and automate implementation processes to increase team efficiency and customer satisfaction
What We're Looking For
- 5-10 years of experience in technical implementation, solutions architecture, or similar roles with enterprise software
- Strong technical background with hands-on experience in data integration, APIs, and enterprise architecture
- Proven track record of successfully managing complex technical implementations while maintaining clear communication with a variety of stakeholders
- Experience creating and optimizing implementation processes that can scale across an organization
- Excellence in technical project management with ability to manage multiple concurrent implementations
- Strong presentation and facilitation skills with ability to command a room of technical and business audiences
- Experience working with data warehouses, ETL processes, and marketing technology is a plus
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
#LI-DNI
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
Data Engineer (12 month Fixed term Contract)
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Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
The role
We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world.
As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players.
You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture.
What you’ll be doing
- Designing, building and maintaining reliable data pipelines and processing components used across the business
- Writing clean, maintainable code and improving performance, data quality and cost efficiency over time
- Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery
- Contributing to technical design, estimation and planning discussions to help the team deliver effectively
- Reviewing code and sharing feedback to support guidelines and collective code quality
- Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard
- Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve
- Learning and applying new tools, technologies and approaches as the platform and team continue to grow
- Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working
What we are looking for
Must have
- Experience as a data engineer (or similar), delivering production-ready, scalable code
- Strong SQL skills and experience with relational and analytical databases
- Programming experience in one or more of Python, Java, C or Spark-based technologies (PySpark, Spark)
- Experience contributing to data platforms handling complex, high-volume data (Databricks)
- Experience with data warehouse or analytical platforms (for example Snowflake or Teradata)
- Understanding of performance and cost considerations in data processing systems
- Strong problem-solving skills and ability to handle multiple priorities
- Clear communication skills, including explaining technical concepts to non-technical partners
- Experience working in UNIX or Linux environments, including shell scripting
- Curiosity and eagerness to learn new tools and technologies
- Eligibility to work in the UK, with ability to travel occasionally to the US and Japan
Nice to have
- Familiarity with additional data processing or integration technologies
- Experience with graphical or low-code data development tools (for example Ab Initio)
- Understanding of data modelling concepts
- Experience translating business requirements into technical solutions
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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Senior Director, Data Engineering & Services
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Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview:
The Senior Director of Data Engineering & Services is a critical leadership role at Sony Interactive Entertainment (SIE), responsible for shaping and driving the data product strategy that powers intelligence across the company. This role focuses on designing, building, and scaling decision and AI-ready data assets that enable deeper, faster insights and drive data-informed decisions across Player, Creator, Publisher, and Enterprise experiences. It blends deep technical expertise with strong business knowledge, playing a key role in advancing SIE’s connected data ecosystem and enabling the next generation of intelligence and operational efficiency across the company.
You will oversee domain-focused data engineering organizations spanning Player Data, Partner Data, and Enterprise Enablement, driving a unified strategy for how SIE designs, builds, and scales its data products.
- In the Player Data domain, you will define how PlayStation’s player data ecosystem evolves—advancing unified attribution, identity and Player360, and trusted metrics that enable lifetime value modeling, next-best actions, causal measurement, and experimentation across player experiences.
- In the Partner Data domain, you will shape how PlayStation’s partner and creator ecosystem uses data through Partner360, secure data sharing, and self-serve analytics that provide insight into partner performance and lifecycle value—enabling insights that drive creator success, optimize publishing outcomes, and strengthen PlayStation as the preferred platform for partners.
- In the Enterprise Enablement domain, you will lead the strategy and execution of enterprise data capabilities that make SIE’s core functions—Finance, IT, Supply Chain, and HR—increasingly data-driven. Your leadership will ensure these functions operate with connected, governed, and intelligence-ready data, enabling better planning, forecasting, operational efficiency, and strategic decision-making.
What you'll be doing:
Strategic Leadership
- Define and drive the long-term data engineering strategy that powers SIE’s Connected Data Ecosystem — delivering trusted, high-impact data products aligned to strategic business priorities.
- Partner with business and product leaders to identify and deliver the most valuable data opportunities across Player, Creator, Publisher, and Enterprise domains.
- Ensure data engineering teams are building for insight velocity, reusability, and scalability, enabling faster and more informed decision-making across the organization.
- Develop a high-performance engineering culture built on quality, ownership, and continuous improvement across global data teams.
Data Engineering Excellence
- Lead the design, architecture, and execution of SIE’s connected data ecosystem, ensuring seamless integration across business domains and platforms.
- Deliver decision and AI-ready data pipelines and foundational datasets that power analytics, reporting, personalization, and operational intelligence.
- Establish and scale guidelines for data modeling, integration, processing, quality, lineage, and observability.
- Optimize for data usability, trust, and performance while managing cost efficiency and reliability at scale.
- Ensure all data engineering outputs meet enterprise standards for security, privacy, and compliance.
Multi-functional Collaboration
- Partner with Product, Analytics, and Business teams to understand data needs and translate them into scalable, high-quality solutions.
- Collaborate with AI/ML, BI, and Platform teams to ensure data assets are discoverable, governed, and integrated into analytical and operational tools.
- Work closely with Data Governance, Privacy, and Security teams to ensure responsible data use and compliance with regulatory frameworks.
- Drive adoption of data products by ensuring discoverability, documentation, and seamless integration into workflows and decision systems.
Innovation & Efficiency
- Lead initiatives to optimize data operations, improve pipeline efficiency, and reduce total cost of ownership across environments.
- Champion innovation in data engineering — advancing streaming, near-real-time, and event-driven architectures that improve agility and insight delivery.
- Partner with platform engineering to implement new capabilities that enhance data delivery and improve developer productivity.
What we're looking for:
Experience and Technical Expertise
- Proven experience building strong partnerships with product, business, and technology leaders to align on data strategy, accelerate delivery, and improve the strategic value of data across the organization.
- Extensive experience in data engineering or related fields, with deep expertise in designing, building, and scaling enterprise-grade data solutions that enable analytics and business intelligence.
- Proven track record of delivering high-quality, reusable, and trusted data assets that power decision-making across complex global organizations.
- Deep expertise in data architecture and modeling, with experience designing scalable ELT/ETL frameworks and distributed processing systems that support both batch and real-time workloads.
- Proven success in building and optimizing modern data platforms using technologies such as Databricks, Snowflake, and Kafka, with strong focus on data quality, lineage, observability, and reliability.
- Skilled in cloud-native data ecosystems (AWS, Azure, or GCP) and governance practices, ensuring performance, scalability, compliance, and trusted access through tools such as Alation and Collibra.
- Demonstrated ability to design and deliver domain-aligned data products
- Experience working across data privacy and regulatory frameworks, ensuring compliance while supporting global data operations.
- Proven leadership experience in building, mentoring, and growing high-performing global engineering teams, fostering a culture of inclusion, innovation, and accountability.
- Exceptional communicator and collaborator, capable of bridging technical depth and business impact.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
Benefits:
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- Dental Scheme
- 25 days holiday per year
- On Site Gym
- Subsidised Café
- Free soft drinks
- On site bar
- Access to cycle garage and showers
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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Analyst, Performance & Emissions
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Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
Analyst – Performance & Emissions
We are seeking qualified applicants for the position of Analyst - Performance & Emissions to be based in London, UK.
General Description:
The Analyst - Performance & Emissions will be responsible for monitoring and evaluating vessel performance against TCP warranties, using voyage reports and sensor data. Another key aspect of the role is to capture and analyze data related to VGC’s chartered Fleet’s international emission regulations and enable the day-to-day administration of emission reporting to relevant authorities.
This position will sit within the VGC Shipping Fleet Performance & Emissions Team, reporting directly to the Sr. Manager - Fleet Performance and Emissions, and will play a key role in enhancing value for VGC’s chartered fleet. Strong digital and analytical skills are essential for handling large complex data.
Key Responsibilities:
- Fleet Performance & Emissions Compliance System Development Support:Support the development of systems for monitoring, recording, and evaluating LNG fleet performance and emissions exposure.
- Regulatory Upkeep:Maintain records related to environmental regulations, ensuring data accuracy for submissions to classification societies.
- Performance Monitoring:Assist in monitoring vessel performance and highlighting underperformance against Charterparty warranties.
- Compliance Coordination:Monitor and report on emission compliance requirements, including deadlines and documentary evidence.
- Routing Evaluation:Utilize weather routing and voyage reporting services to assist in evaluating optimized ship routing.
- Analytical Support:Help develop and maintain analytical models to derive various performance and emission KPIs. In addition, there will be analytical needs from Shipping Operations, Chartering
- Platform Collaboration:Collaborate with IT on the development of a live monitoring platform for VGC chartered ships.
- Fleet Management Support:Actively support the management of the LNG carrier fleet through procedure development and software implementation.
- Stakeholder & Claims Support:Foster strong relationships with stakeholders and assist in LNG performance claims management.
- Ad-hoc Tasks:Provide supplementary support and complete tasks as requested by the line manager.
Experience & Skills
Essential
- Experience: Minimum 2+ years in Data Analytics or Data Science.
- Technical Skills: Proficient in Python, Databricks, SQL, Microsoft Power Platform, and Excel.
- Industry Knowledge: Solid understanding of the LNG supply chain, international maritime emission regulations, and LNG Time Charter Parties.
- Education: Bachelor’s degree or professional qualification in a complementary field (Data Science, Computer Science).
Advantageous
- LNG Shipping Operations: Familiarity with cargo scheduling, shipping operations, and LNG marketing.
- Maritime Tech: Experience with vessel design and technologies focused on efficiency and emissions reduction.
Soft Skills
- Data Storytelling: Translates complex findings into clear, actionable insights for any audience.
- Collaborative Partner: Bridges the gap between technical teams and stakeholders through active listening.
- Analytical Rigor: Combines critical thinking with high accuracy to validate results and challenge assumptions.
- Proactive Problem-Solver: Naturally curious; identifies patterns and takes initiative to optimize workflows.
- Project Ownership: Highly organized and accountable; manages multiple priorities in fast-paced environments.
- Adaptability: Thrives in diverse, cross-functional teams and pivots quickly as business needs evolve
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.
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#LI-Onsite
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Lead MySQL Database Administrator
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Why Verifone
For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.
Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.
Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.
Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.
What's Exciting About the Role
Verifone is seeking an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.
We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.
This hybrid role is open to hiring candidates located in:
- Bucharest, Romania
- London, United Kingdom
- Riga, Lativa
- Warsaw, Poland
Key Responsibilities
You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.
The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs.
- Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
- Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
- Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
- Define thorough and validated database monitoring and alerting, along with documentation for future references
- Setup high availability with Master-Master/ Master-slave replication
- Maintain stable performance via server optimizations
- Guide engineering teams to best practices on server configurations and SQL tuning.
- Maintain security and compliance via OS and database version upgrades
- Work with application stake holders to create effective database solutions
- Create and maintain adhoc reports
- Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
- Support application release process, and automations
- Mentor and develop other engineers on MySQL skills
Required Qualifications/Skills
- Minimum 8 years of experience managing MySQL
- Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
- Experience administrating MySQL on Linux platform
- Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
- Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
- Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
- Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
- Proficiency with cloud infrastructure, AWS RDS or equivalent.
- Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
- Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
- Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
- Strong technical leadership, mentoring and time management skills.
Preferred Skills (Not Mandatory)
- Experience working with PCI (Payment Card Industry Data Security) standards
- ITIL environment experience
- Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
- Experience managing PostgreSQL, SQL Server, and/or Oracle.
- Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
- Experience with data analytics and Business intelligence
Our Commitment
Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Ready to apply?
Apply to Verifone
Partner Solutions Architect
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SLSQ427R253
As a Partner Solutions Architect for Europe, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open source projects such as Apache Spark™, MLflow, and Delta Lake, and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.
The impact you will have:
-
Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem.
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Engage with the partner technical community by leading workshops, seminars, and meet-ups.
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You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.
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Show expertise by producing creative technical solutions and blog posts.
What we look for:
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8 years of customer-facing experience working with external clients or partners across a variety of industry markets
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Core strength in either data engineering or data science
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Experience demonstrating technical concepts, including presenting and whiteboarding
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Experience developing architectures within a public cloud (AWS, Azure, or GCP)
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Hands-on experience in SQL, Python, Scala, or Java
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Expertise in at least one of the following:
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Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)
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Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)
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Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Partner Development Representative, Cloud (EMEA)
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SLSQ227R799
Please note that whilst this position is advertised as being based in London, we will also consider candidates who are based in Paris, Munich and Amsterdam.
As a Partner Development Representative (PDR) at Databricks, you will play a critical role in accelerating growth across our Hyperscaler Cloud business by developing and managing strategic relationships with regional stakeholders across the EMEA region. You will act as a key connector between Hyperscaler, sales leadership, marketing, product, programs, finance, and field teams to drive partner-sourced pipeline, co-sell engagement, and revenue growth.
This role requires strong executive presence, cross-functional collaboration, and the ability to operate strategically in a fast-paced, high-growth environment. You will help partners align to Databricks go-to-market priorities, support deal registration and pipeline governance, and ensure seamless collaboration between Hyperscaler and Databricks field organizations.
Success in this role requires a deep understanding of the Hyperscaler ecosystem, the EMEA business landscape, and the cultural nuances required to build trusted relationships across diverse markets and stakeholders.
The Impact You’ll Have
- Lead & Pipeline Management: Oversee and manage partner deal registrations, ensuring compliance with SLA guidelines.
- Pipeline Contribution: Facilitate partner tagging to approved use cases (both new and existing) to ensure accurate tracking of partner-influenced deals.
- Lead Qualification: Collaborate with AEs and sales teams to align on lead qualification and ensure deal progression.
- Data-Driven Insights: Track and analyze partner-sourced opportunities to measure impact and optimize partner-driven sales motions.
We Are Looking For Someone Who
- Has 3+ years of experience in sales, business development, partner management, or pipeline operations.
- Understands the SaaS/Cloud ecosystem and has familiarity with technology partner programs.
- Is highly organized and process-driven, with strong attention to detail for managing deal registrations and sales pipeline.
- Has excellent communication skills, capable of working cross-functionally with partners, sales, and marketing teams.
- Thrives in a fast-paced environment, with the ability to adapt quickly to changing business needs.
- Is customer-obsessed, with a passion for Data & AI and a desire to help partners succeed.
- Demonstrates strong executive presence and the ability to communicate effectively with senior stakeholders internally and externally.
- Understands the EMEA business landscape and can navigate cultural differences and regional market dynamics effectively.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Partner Solutions Architect
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer experience
Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.
Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure.
This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
- Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
- Design and architect high-impact integration solutions, delivering clear joint customer value
- Build and maintain reference implementations and production-grade integrations
- Define enterprise-ready integration patterns (networking, security, compliance, observability)
- Translate partner and customer feedback into actionable product and roadmap requirements
- Enable partner teams through technical documentation, training, and demo environments
- Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting
We expect you to have:
- 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
- Strong expertise in cloud infrastructure
- Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
- Proven background in integration architecture (API design, data pipelines, security, observability)
- Experience with Python and IaC tools
- Excellent communication skills with the ability to engage technical and non-technical stakeholders
It will be an added bonus if you have:
- Track record of building or scaling partner technical programs or ecosystems
- Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
- Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Startup Hunter Account Executive, UKI
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SLSQ327R238
Reporting to the Regional Sales Manager UKI, as a Startup Hunter Account Executive at Databricks, you will focus on acquiring new accounts across the UK and Ireland. As a successful candidate, you are a self-starter who understands how to generate pipeline and manage full sales cycles. You have experience with the consumption business, you know how to sell innovation and value to new prospective customers, identify first or new use cases, and can guide them forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new use case opportunities within new accounts, we also offer accelerators above 100% quota accomplishment. You will be offered huge potential for career progression with the pace of the team's growth.
The impact you will have:
- 1-2 years of experience in a direct account executive/closing role
- Assess your territory and develop a successful account execution strategy
- Identify and activate new accounts to execute account activation target activate new accounts
- Exceed activity and revenue targets
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Identify new use case opportunities and showcase value to prospects
- Promote the value of the Databricks' Data Intelligence Platform
- Ensure 100% satisfaction among all customers
What we look for:
- Experience penetrating new accounts, executing on first use cases, growing initial consumption and closing deals in a direct sales role
- Experience in relevant software sales development role with consumption sales motion
- Some exposure to software industry and grasp of basic concepts of selling SAAS, Big Data and Business Value
- Basic understanding of the data platform and cloud ecosystems
- Experience exceeding sales targets / quotas
- Success closing new accounts while working existing accounts
- Passion for cloud technologies
- Bachelor's Degree or relevant work experience
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Emerging Enterprise Hunter Account Executive, UKI
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SLSQ327R208
Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.
Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape.
As an Emerging Enterprise Hunter Account Executive, you are a sales professional experienced in selling to mid to large sized accounts across the UK and Ireland. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and Partners.
Always looking for new opportunities, you will close new accounts and expand them. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.
You will report to the Emerging Enterprise Sales Senior Manager, UKI.
The impact you will have:
- Assess your territory and develop a successful execution strategy
- Use a solution-based approach to selling and creating value for new logo accounts
- Identify and close quick, small wins while managing longer, complex sales cycles
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Exceed activity and quarterly revenue targets
- Promote the value of the Databricks' Data Intelligence Platform
- Ensure 100% satisfaction among all customers
What we look for:
- 1-2 years of experience in a direct account executive/closing role
- Understanding of the data platform and cloud ecosystems
- Some exposure to the software industry and some basic concepts of selling SaaS, Data and Business Value
- Basic understanding on how to research company information and identifying key stakeholders
- Competent with prospecting research and ability to map out key stakeholders
- Adept in selling to technical buyers
- Understanding of MEDDPICC
- Experience exceeding sales targets/quotas
- Bachelor's Degree or relevant work experience
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Finance Analyst
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We are looking for a commercially savvy, data-driven Senior Finance Analyst to join our UK and Ireland finance team. You will be integral in evolving, transforming and streamlining our ways of working across the breadth of finance. You will leverage your technical expertise and interest in emerging technologies (e.g. SQL, AI) to dive deep into complex datasets, turning raw data into strategic insights and answering the key questions that drive our executive decision-making.
Key Responsibilities
- Weekly/Monthly Reporting; Take ownership of generating timely and reliable weekly performance reporting & insights for the UK Management Board with a focus on actionable insights, analysis & commentary.
- Finance Transformation: Collaborate & identify inefficiencies in current financial workflows and lead initiatives to streamline/automate manual processes, reducing time spent on routine reporting across the team and improving time cycles for month-end and reporting.
- Month End Support; Supporting the Month End accounting process, ensuring a high level of accuracy in our management reporting and helping stakeholders understand their performance through data.
- Insight Generation: Interpret complex data sources to produce meaningful business insights. You won't just report the what; you will explain the why and the what next.
- Stakeholder Partnership: Act as a bridge between Finance and Tech/Data teams, translating business requirements into technical specifications while getting exposure to and influencing data infrastructure & pipelines.
- Forecasting/Budgeting: Work closely with both local and international stakeholders to generate reliable, data driven forecasts while ideating on new, high impact data assets required for success.
You Have;
- 2+ years of experience working with large data sets, complex models and experience in an analytical field.
- Experience working within physical product-based businesses (e.g. manufacturing, operational environments, FMCG, or similar industries) would be strongly preferred, particularly where finance and operational data intersect.
- A track record of designing, developing and maintaining various financial and non-financial data sets/models using SQL (python would be advantageous) and sophisticated Excel/GoogleSheet/Google AppScripts tools. Exposure to software (or equivalent software) such as Databricks, Snowflake, N8N, Workday Adaptive Planning, Tableau etc would also be an advantage.
- Experience developing advanced analytics with an exceptional ability to interpret and present financial and non-financial data in a way that is digestible for non-technical stakeholders.
- A continuous improvement mindset where you strive under the challenge of trying to continually improve the financial or operational performance & efficiency through the use of data & analytics.
- An intrinsic determination to solve a problem once it is identified using a scientific or well thought through, logical approach.
- Strong financial literacy and an inherent interest in business performance driving performance.
You are;
- Curious and proactive self-starter who seeks to understand concepts deeply and continuously improve processes
- A fast learner with strong problem-solving skills and financial acumen, able to work independently with minimal direction
- An effective communicator and stakeholder manager, skilled at building strong relationships and influencing outcomes
- Detail-oriented, accuracy-focused, and comfortable thriving in fast-paced, evolving environments
What you will get in return:
● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance
Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London
Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with your recruiter.
Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.
To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.
You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company.
If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.
Ready to apply?
Apply to HelloFresh
Senior Solutions Architect - Lakewatch
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Requisition ID: FEQ427R217
Sr. Solutions Architect (Lakewatch - EMEA)
The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakewatch product-line requires the following core technical competencies:
- 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
- Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
- Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
- Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.
The impact you will have
- Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
- As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
- Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
- Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
- Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
Competencies & Responsibilities
- 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
- Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
- Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Solutions Architect - Lakewatch
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Requisition ID: FEQ427R217
Sr. Solutions Architect (Lakewatch - EMEA)
The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakewatch product-line requires the following core technical competencies:
- 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
- Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
- Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
- Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.
The impact you will have
- Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
- As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
- Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
- Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
- Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
Competencies & Responsibilities
- 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
- Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
- Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Solutions Architect - Lakewatch
Share this job
Requisition ID: FEQ427R217
Sr. Solutions Architect (Lakewatch - EMEA)
The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakewatch product-line requires the following core technical competencies:
- 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
- Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
- Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
- Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.
The impact you will have
- Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
- As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
- Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
- Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
- Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
Competencies & Responsibilities
- 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
- Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
- Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Solutions Architect - Lakewatch
Share this job
Requisition ID: FEQ427R217
Sr. Solutions Architect (Lakewatch - EMEA)
The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakewatch product-line requires the following core technical competencies:
- 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
- Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
- Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
- Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.
The impact you will have
- Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
- As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
- Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
- Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
- Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
Competencies & Responsibilities
- 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
- Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
- Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Principal Software Engineer (Hybrid)
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Principal Engineer
Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)
Who We Are
At 8th Light, we bring life to the best ideas.
Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise.
Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.
If this kind of work and our kind of people energizes you, you’ve found the right place.
Who You Are
You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have:
- Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries
- Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served
- Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
- Evaluated and strategically applied AI-assistive development tools to accelerate delivery and improve quality
- A track record of understanding, assessing, and embracing new tooling and trends within the software industry
- Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics)
- Used context-appropriate automated testing to inform software design choices and catch bugs
- Successfully led modernization efforts to align legacy systems with short and long-term business needs
- Remedied architecture-level concerns such as scalability, security, reliability, and performance
- Facilitated alignment and collaboration across technical and non-technical stakeholders to move initiatives forward in the face of ambiguity and complexity while balancing technical considerations with product and user needs
- Provided mentorship and team support at scale, while sharing knowledge and improving team practices
- Actively sought out and effectively given feedback
- Collaboratively led stakeholders to balance technical considerations with product and user needs
What You’ll Do At 8th Light
As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for:
- Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives
- Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
- Working pragmatically to balance technology choices while delivering high-quality work within deadlines
- Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes
- Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
- Driving innovation by proactively surfacing new technical approaches and product solutions
- Leading or initiating formal feedback conversations with teams and clients via retrospectives
- Clearly articulating and documenting outcomes and driving forward action items
- Contributing to the health of your team and 8th Light’s culture by modelling our Values
- Designing and managing high-level technical roadmaps for large engagements
- Building your network and maintaining relationships with clients and other industry leaders within your domain
- Coaching client engineering teams, transferring knowledge and leveling up practices
- Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization
- Participating in account planning; opportunity identification.
- Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes
- Identifying, mitigating, and resolving blockers to team progress
- Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes
- Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development.
- Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices.
- Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale.
Strongly Preferred Skills
We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:
- Delivering and advising on enterprise-grade AI systems, including RAG pipelines, vector search, and agentic frameworks (e.g., LangChain, LlamaIndex, Crew AI, AutoGen, n8n), ensuring scalable, production-ready solutions that empower developers and align with business outcomes.
- DevSecOps & DevOps
- MLOps
- Infrastructure as Code
- Data Engineering: including platforms like Databricks for data processing and analytics.
Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences.
How You’ll be Supported
At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future.
- Our wellness package is designed with the Whole YOU in mind and includes:
- A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
- Annual financial stipend and time allotment for learning & development
- Coworking support for our global team
- 12 weeks of new parent leave available for eligible employees
See our full list of Benefits.
A Note on Compensation
At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.
We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within London is: £92-818-£116-122 GBP
Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.
8th Light Hubs and Geographies
8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle.
- London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.
We hope to see you apply!
#LI-Hybrid
A Note on Your Privacy
At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process.
Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.
Ready to apply?
Apply to 8th Light
Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.
Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
The Role
Neo4j GraphAcademy provides free, self-paced, hands-on online training paths for Developers, Data Engineers, and Data Scientists to achieve success with Neo4j.
We are looking for an enthusiastic Curriculum Developer to create engaging, hands-on online training courses, videos, and technical content that educate and empower Neo4j users of all experience levels.
You can view our existing course catalogue and get a feel for how we teach at graphacademy.neo4j.com.
Key Responsibilities
- Design and produce high-quality technical content (courses, videos, sample applications, diagrams) using existing Neo4j Documentation.
- Identify gaps in the course catalog, develop courses to cover them, and build clear learning paths for different graph use cases.
- Provide feedback on Neo4j offerings and course catalog to improve the user experience.
- Collaborate with the distributed Developer Relations, Marketing, Product Management, Solutions Engineering, and R&D teams.
- Be comfortable expressing complex subject matter clearly and simply, and working on camera.
Qualifications
- Must Haves:
- A background in education or technical writing.
- Able to demonstrate experience creating video content that uses visual aids to break complex content down into easy-to-understand content.
- Ability to research and develop training materials for users of all ability levels.
- An empathy for users and their learning experience.
- A strong command of the English language (writing and speaking).
- Experience working remotely.
- Nice to Have:
- Experience with Generative AI, Large Language Models, and GenAI frameworks.
- Experience with software development, databases, data engineering, or machine learning.
Specialities
We are seeking educators with expertise in one or more of the following domains. Candidates may have direct professional experience in the field or a background in technical education within these areas.
- Data Ecosystem Integration: Experience integrating or migrating data across major cloud platforms and data providers, such as Snowflake, Databricks, and Microsoft Fabric.
- Generative AI (GenAI): Deep expertise in GenAI, including building applications that utilize Retrieval-Augmented Generation (RAG) and Context Engineering principles.
- DevOps and System Administration: Experience in DevOps practices and administering large-scale systems.
Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.
- Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
- Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
- 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
- Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
- Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
- A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.
Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.
One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.
Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:
(we)-[:VALUE]->(relationships)
(we)-[:FOCUS_ON]->(userSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments)
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.
More information at www.neo4j.com.Ready to apply?
Apply to Neo4j
WPP is the trusted growth partner for the world’s leading brands.
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.
We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
For more information, visit WPP.com.
Why we're hiring:
As a Data Manager in the WPP Enterprise Data Group, you will own and govern the Master Data Management (MDM) layer of the Work Management data programme. This is a new capability being established to ensure the integrity, consistency, and quality of master data that underpins WPP’s Work Management across the global agency network.
You will define and enforce data ownership, stewardship policies, and quality standards across master data entities. Our governance framework will ensure that cross-reference mappings between source systems and canonical identifiers are accurate, complete, and compliant with regulatory requirements across multiple countries.
This role requires close collaboration with multiple data teams, the ET Work Management team, data architects, and operating company stakeholders. You will establish the processes, policies, and escalation paths that enable effective master data governance at scale.
You will be joining a programme that is building the foundational data layer for WPP Work Management, directly enabling project management, resource planning, and financial reporting across the enterprise.
What you'll be doing:
- Define and implement master data governance policies, standards, and procedures.
- Establish data ownership and stewardship assignments for each master data domain.
- Develop and maintain the data governance framework including data quality thresholds, escalation procedures, and remediation workflows.
- Define data quality rules and acceptance criteria for all master data entities.
- Monitor data quality metrics and dashboards, driving continuous improvement across all datasets.
- Own the resolution of cross-system data conflicts, duplicates, and integrity issues.
- Oversee the integrity of cross-reference mappings between source systems and canonical identifiers.
- Manage the onboarding of new agencies and source systems into the master data framework.
- Ensure identity resolution processes maintain accuracy as the solution scales.
- Engage with operating company data owners and business stakeholders to align on data standards and requirements.
- Ensure master data practices comply with data privacy and regulatory requirements across all operating regions.
- Report on data governance maturity, quality trends, and risk to programme leadership.
What you'll need:
- Proven experience in master data management, data governance, or data quality management roles.
- Strong understanding of MDM concepts including data ownership, stewardship, and cross-reference management.
- Experience with data quality frameworks, metrics definition, and continuous improvement practices.
- Knowledge of data privacy regulations (GDPR) and their implications for master data management.
- Experience working with ERP or HCM data domains (Workday, SAP, Dynamics, or similar) is highly desirable.
- Excellent stakeholder management skills with the ability to influence data owners and business teams.
- Strong analytical skills with the ability to interpret complex data relationships and identify quality issues.
- Outstanding communication and presentation skills for both technical and non-technical audiences.
- Experience with Databricks, Unity Catalog, or cloud-based data platforms is an advantage.
- Organised, self-motivated, and able to establish new processes in a greenfield enviroment.
Who you are:
You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
#LI-Hybrid
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.
Ready to apply?
Apply to WPP
Senior Demand Planning Analyst
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About The Team:
We’re looking for a Senior Demand Planning Analyst who is as comfortable writing SQL as they are explaining a forecast miss to a Procurement Director. This is a hybrid role: part data engineer, part forecaster, part cross-functional operator.
You’ll own the demand signal that drives every operational decision at HelloFresh, from how much food we buy to how many staff we schedule and how many trucks we book. Your forecasts directly determine food waste, labour costs, and customer experience for millions of meals across Europe.
Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will bridge that gap — building the next-generation forecasting capabilities while keeping daily supply chain execution accurate and agile.
What You’ll Do
Build & Automate Forecasting Systems
- Write and maintain SQL queries daily to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
- Develop and refine forecasting models in Python, applying statistical and machine learning techniques — from simple trend and seasonality models through to more advanced approaches as the function matures.
- Design dashboards and automated reporting using visualisation tools (e.g., Tableau, Power BI) that give stakeholders self-service access to demand insights.
- Work alongside forecast engineers to architect scalable pipelines, ensuring local market nuances are handled without breaking the unified codebase.
- Build “What-If” scenario simulations (e.g., “What if we run an aggressive promo in a key European market next week?”) to stress-test operational capacity and quantify supply chain risk.
Own the Demand Plan
- Generate and validate daily and weekly demand plans for European markets. You are the guardian of the Decision-Time forecast — the plan must be accurate at the exact moment Procurement and Production need to act.
- Monitor trends, seasonality, and promotional impacts. Proactively flag when the plan needs adjusting and communicate changes before they surprise the supply chain.
- Implement data validation and QA checks to ensure forecast reliability, with alerting for anomalies.
Drive Cross-Functional Alignment (S&OP)
- Drive cross-functional alignment and play a key role in the weekly S&OP planning cycle with Market Leadership, Logistics, Production, and Procurement — ensuring the forecast is shaped by stakeholder inputs and shifting the conversation from error reporting to risk management and strategic alignment.
- Partner with Marketing to ensure growth campaigns and promotions are reflected in the demand view before they hit the supply chain.
- When deviations occur, go beyond surface metrics: diagnose root causes, quantify impact, and deliver actionable insights that prevent recurrence.
What We Need
Required Technical Skills
- SQL: Fluent. You write complex queries daily — joins, window functions, CTEs — and are comfortable working in cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
- Python: Good working knowledge. You can write and maintain scripts for data manipulation, forecasting, and analysis. You don’t need to be a software engineer, but you’re confident using Python to solve analytical problems.
- Visualisation: Experience building dashboards in tools such as Tableau or Power BI to make data accessible to non-technical stakeholders.
- Excel/Google Sheets: Advanced. Still essential for ad-hoc analysis and stakeholder communication, but not your primary tool.
Required Domain Experience
- 4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics. E-commerce, food retail, or FMCG experience is strongly preferred — perishable/short shelf-life experience is a significant plus.
- Strong grasp of forecasting techniques: you understand bias, accuracy metrics (MAPE, WMAPE), trend decomposition, and how to evaluate model performance holistically.
- Experience forecasting in environments with limited historical data (newer markets, product launches) using proxy data and trend smoothing.
- Proven ability to manage demand and supply risks: proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders.
- Comfortable with project tools like JIRA/Confluence for managing backlogs and improvement roadmaps.
- Strong communication skills: you can present forecast insights, explain variance drivers, and articulate trade-offs clearly to both technical and non-technical audiences, ensuring alignment across functions.
What you will get in return:
● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance
Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market
To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.
Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.
Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.
Ready to apply?
Apply to HelloFresh
Senior Demand Planner
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About The Team:
At HelloFresh, we are changing the way people eat forever. We are looking for a Senior Demand Planner to join our Central Planning Team, driving strategic forecasting and technical innovation across the UK and International markets while acting as the operational heartbeat of selected European markets. Seeking a data-savvy pro with strong SQL skills to unlock insights and drive smart decisions!
You will play a pivotal role in our Operations, moving from fragmented local forecasting to a unified, automated, and data-driven global model. You will also own the demand signal that drives every operational decision - from how much food we buy (Procurement) to how many staff we schedule (Production) and how many trucks we book (Logistics).
The Mission:
The Demand Planning team is transitioning from a legacy operating model into a Predictive Intelligence function. Our vision is to evolve from reactive demand estimation to active supply chain shaping, leveraging data to anticipate market shifts, mitigate risk, and optimize operational costs.
You will bridge the gap between legacy operations and predictive intelligence. This role has a critical dual objective:
- Strategic Architecture & Innovation: Driving the innovation required to architect the standardized forecasting tools, demand simulation frameworks, and future-state processes that will unlock scalable growth across International markets.
- Operational Execution & Continuity: Ensuring flawless operational continuity for Ireland forecasting, protecting service levels and optimizing costs during this transition.
Ultimately, you will ensure that while we build the next generation of automated planning pipelines, our daily supply chain execution remains agile, accurate, and highly efficient.
What You Will Be Doing:
Strategic Improvement
- Drive Standardization: Establish a unified, model-driven demand planning architecture. You will manage the planning process to strictly limit manual overrides, ensure real-time communication with key stakeholders and proactively take actions to correct the forecast.
- Automated Ecosystem Transition: Drive the shift toward an automated pipeline. Work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base.
- Scenario Modeling & Innovation: Work with Data Science to refine our Confidence Range Forecasts and Scenario Simulations. Build "What-If" scenarios (e.g., “What if we run an aggressive promo in Ireland next week?”) to stress-test operational capacity and mitigate supply chain risk.
Cross-Functional Stakeholder Management (S&OP)
- Lead the S&OP Rhythm: Facilitate the weekly planning cycle with local stakeholders such as Market leadership, Logistics, Production and Procurement. You will shift the focus from simple error reporting to comprehensive risk management and strategic alignment.
- Commercial & Marketing Alignment: Partner with Marketing to align on customer conversions and retention. You will ensure that growth campaigns are accurately reflected in the Expected Demand view before they hit the supply chain.
- Deep Dive Diagnostics: When deviations occur, you will move beyond surface-level metrics. Your role is to explain the key drivers of the variance to provide actionable insights that prevent recurrence.
Operational Forecasting & Plan Ownership
- Drive the Transition to an Automated Ecosystem: Drive the shift toward an automated, robust ecosystem (using tools like Python, Databricks, and Streamlit as examples). You will not just use these tools; you will work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base.
- Own the Number: Generate and validate daily and weekly demand plans for Ireland. You are the guardian of the Decision-Time forecast, ensuring the plan is accurate at the exact moment Procurement and Production need to act, without relying on rigid timelines but rather on operational readiness.
- Manage Trends & Operational Agility: Monitor changes in trends and the need for quick operational adaptations. You will incorporate performance metrics, not only to track stability but to implement stakeholder discipline, ensuring that changes are communicated promptly and the organization adapts efficiently.
Who You Are:
You are a hybrid: part analyst and planner, part diplomat, and part strategic change agent. You know a demand plan is useless if it simply reports numbers without driving action. You ensure every plan reconciles conflicting cross-functional needs, championing structural transformation through deep insights and a proactive understanding of error and risk.
Must-Haves:
- Experience: 4+ years in Demand Planning, Supply Planning, or Data Analytics, preferably in e-commerce, food retail, or FMCG (short shelf-life/perishable experience is a massive plus).
- Tech Stack: You are ready to leave spreadsheets behind. Proficiency in SQL is required. Experience with Python (pandas, forecasting libraries) and Visualization tools (Tableau/Streamlit) is strongly preferred as we transition to our automated pipelines.
- Analytical Rigor: You possess strong analytical skills and a problem-solving, forward-looking mindset. You understand how to evaluate performance holistically and are proficient in forecasting techniques.
- Young Market Mindset: You are comfortable with ambiguity. You know how to forecast in environments with limited historical data (like our newer markets) by using proxy data and trend smoothing.
- Project Management & Delivery: You can plan and sequence initiatives across markets, handling ambiguity and frequent reprioritisation. You have a track record of prioritising and landing a roadmap of improvements.
- Risk & Change Management: You proactively anticipate demand and supply risks. You are experienced in proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders to protect service and cost.
- Project & Data Tools: Advanced Excel/Google Sheets skills are essential. You are comfortable using JIRA/Confluence (or similar) for managing backlogs and requirements.
- Quality & Monitoring: Experience with data validation/QA frameworks, alerting systems, and SLA tracking to ensure forecast reliability.
Soft Skills:
- Influence: You can hold your ground with Senior Stakeholders (Head of Operations, Procurement Directors) when challenging their numbers or explaining a forecast miss.
- Clarity: You can translate complex statistical concepts (e.g., "algorithm bias") into business impact (e.g., "we need to buy 10% more chicken").
- Stakeholder Leadership: You possess strong stakeholder management skills, influencing across Marketing, Procurement, Finance, and Tech. You ensure alignment across diverse functions.
What you will get in return:
● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance
Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market
To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.
Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.
Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.
Ready to apply?
Apply to HelloFresh
Location: UK or Portugal
Department: Engineering
Employment Type: Permanent
About YLD:
Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.
About the role:
As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.
About you:
A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.
You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.
Your day-to-day responsibilities will look like this:
- Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
- Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
- Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
- Mentoring and growing data engineers across the company
- Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
- Contributing to proposals and helping shape engagements during the sales process
- Representing YLD externally through writing, speaking, and contributing to the wider data community.
You’ll have the following skills and experience:
- SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
- Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
- Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
- Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
- Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
- Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
- Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
- CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
- Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
- Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
- Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
- Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments
You’ll be:
- Self-motivated and proactive
- Comfortable with ambiguity, experimentation, and iteration
- Collaborative by default. You work well in teams and across teams
- Analytical and detail-oriented in your approach to problems
- Comfortable context-switching across clients, stacks, and problem types
- Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
- Active in the wider data community: writing, speaking, or open-source contribution
- Genuinely committed to diversity, equity, and inclusion
Benefits you'll get:
- Company Private Health care
- Enhanced fully paid maternity and paternity leave for up to 6 months
- Company’s Pension Scheme (UK Only)
- 25 days annual holiday (excluding Public Holidays)
- £2000/€2000 annual allowance for Training/Conferences
- £300/€300 annual allowance for additional hardware
- Wellbeing & Performance Support via Oli including Therapy and Coaching
- Discretionary Bonus (depending on Company performance and results)
- Company laptop
- Generous referral schemes
Our typical Recruitment Process looks like this:
- 1st Interview with someone from the Talent team (30-45 Minutes)
- Technical Interview with our Senior Developers (90 Minutes)
- Call with the Head of Engineering (60 Minutes)
Get a glimpse of what it's like working at YLD! 🤳
We live and breathe our values, and know you will too:
- Growing every day
- Including everyone
- Relationships built on honesty and ethics
- Inspiring solutions
- Winning together
We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.
Ready to apply?
Apply to YLD
Technical Delivery manager
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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Job Description: Technical Delivery Manager
Location: London, UK
Work Model: Full-time, onsite at customer location
Role Type: Customer-facing delivery leadership role
Role Summary
We are looking for a Technical Delivery Manager to lead complex technology delivery for a strategic enterprise customer in London. This role requires a strong combination of hands-on technical understanding, delivery ownership, client management, Agile execution, and cross-functional leadership.
The ideal candidate will manage end-to-end delivery across cloud, data, application modernization, AI-enabled engineering, and enterprise integration initiatives. The role is fully customer-facing and requires daily onsite collaboration with business, technology, product, architecture, and engineering stakeholders.
Key Responsibilities
Delivery Leadership
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Own end-to-end delivery across assigned programs, workstreams, releases, and sprint commitments.
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Drive planning, execution, risk management, dependency tracking, and stakeholder communication.
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Ensure delivery predictability across scope, schedule, quality, budget, and customer expectations.
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Manage delivery governance using Agile methodology, sprint ceremonies, release planning, retrospectives, and operational reporting.
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Maintain clear traceability of requirements, user stories, acceptance criteria, UAT sign-offs, defects, and production readiness.
Customer & Stakeholder Management
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Act as the primary onsite delivery interface for customer stakeholders.
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Build trusted relationships with business, product, technology, architecture, security, infrastructure, and operations teams.
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Translate business priorities into actionable delivery plans and technical execution roadmaps.
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Proactively communicate risks, blockers, trade-offs, and mitigation plans.
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Support executive-level reporting, steering committee updates, and escalation management.
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Identify growth opportunities and partner with internal team to build solution proposals
Technical Oversight
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Provide technical leadership across cloud, data, application, integration, and DevOps workstreams.
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Work closely with architects, engineers, QA, DevOps, and data teams to validate technical design and delivery feasibility.
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Ensure alignment with enterprise architecture, security, privacy, data residency, and operational standards.
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Review technical dependencies across applications, data pipelines, APIs, environments, and CI/CD processes.
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Drive production-readiness reviews, performance validation, monitoring, and support handover.
Engineering & Agile Execution
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Lead sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.
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Manage delivery through tools such as JIRA and/or Azure DevOps.
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Ensure stories are well-defined, estimated, prioritized, and linked to business outcomes.
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Track velocity, capacity, defects, risks, dependencies, and release burn-down.
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Promote disciplined engineering practices, including code quality, peer review, automation, testing, and deployment controls.
Data, Cloud & DevOps Delivery
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Manage delivery across modern data platforms and cloud-native environments.
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Coordinate data engineering, transformation, ingestion, analytics, and reporting workstreams.
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Oversee CI/CD pipeline execution, environment readiness, deployment planning, and release validation.
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Support operational readiness through monitoring, observability, incident response, and continuous improvement.
Required Technical Experience
Strong working knowledge across modern enterprise technology delivery, including:
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Cloud & Platform: Microsoft Azure, AKS, Azure Container Apps, Azure Monitor, Azure SQL, Cosmos DB, Azure Data Lake, Fabric / OneLake.
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Data & Analytics: Databricks, Unity Catalog, Azure Data Factory, PySpark, Python, SQL, Power BI, data pipelines, transformations, reconciliation, and data quality.
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Application & Integration: .NET / .NET Core, Angular, REST APIs, microservices, authentication, authorization, and secure enterprise integration.
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DevOps & Delivery Tools: JIRA, Azure DevOps, GitHub, CI/CD pipelines, release management, environment management, automated testing, and deployment governance.
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AI-Enabled Engineering: Exposure to GitHub Copilot, Claude, Codex, Lovable, or similar AI tools supporting SDLC acceleration, code generation, testing, and productivity improvement.
Required Skills & Qualifications
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10+ years of experience in technology delivery, software engineering, data platforms, or cloud transformation.
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5+ years in a delivery management, technical program management, or technical project leadership role.
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Strong experience managing enterprise customers in an onsite, high-touch delivery model.
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Proven ability to lead distributed engineering teams across onsite, nearshore, and offshore locations.
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Strong understanding of Agile delivery, sprint execution, release governance, and production deployment practices.
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Ability to challenge teams constructively on estimates, technical approach, quality, and delivery risks.
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Excellent communication skills with the ability to engage both technical teams and senior customer stakeholders.
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Strong problem-solving mindset with ability to manage ambiguity, dependencies, and escalations.
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Experience in regulated, enterprise, audit, financial services, or professional services environments is preferred.
Preferred Experience
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Experience working with large global enterprise customers.
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Prior exposure to audit, risk, compliance, financial services, or professional services platforms.
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Experience managing cloud data platform programs using Azure, Databricks, Fabric, and Power BI.
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Experience with modernization programs involving .NET, Angular, APIs, microservices, and cloud-native deployment.
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Familiarity with operational support, production readiness, observability, performance testing, and incident management.
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Experience driving value-based delivery, productivity improvement, and AI-enabled engineering adoption.
Key Success Measures
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Predictable sprint and release delivery.
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Strong customer confidence and stakeholder satisfaction.
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Clear governance across scope, backlog, UAT, defects, and release readiness.
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Improved delivery quality, reduced rework, and stronger production stability.
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Effective coordination across business, product, engineering, QA, DevOps, and operations teams.
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Proactive risk management and transparent executive communication.
Ideal Candidate Profile
The ideal candidate is a hands-on technical delivery leader who can operate comfortably with senior customer stakeholders while also engaging deeply with engineering teams. They should be able to manage delivery pressure, bring structure to ambiguity, challenge teams constructively, and ensure that commitments are met with quality and transparency.
This is not a purely project management role. It requires someone who understands technology delivery in depth and can lead from the front in a complex, customer-facing enterprise environment.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
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Sr. Manager, Field Engineering Qatar&Africa
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FEQ327R157
As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers across the Qatar & Africa markets. Your experience partnering with the sales organisation will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together.
You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.
The impact you will have:
- Hire, mentor and grow the pre-sales team for the Qatar & Africa markets
- Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture
- Support increased return on investment of SA involvement in sales cycles
- Ensure a solution and value-based selling within the field-engineering organization
- Display an understanding of needs and revenue potential for accounts in the assigned region
- Engage with key customer executives to build and strengthen strategic partnerships
- Ensure close alignment with partners and internal services to secure implementation strategies within accounts
- Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region
What we look for:
- Experience managing a team of successful Big Data, Cloud, or SaaS professionals
- Experience in consumption based business environments
- Have experience mentoring and scaling technical teams
- Success in instituting processes for technical field members to lead efficiency and product focus
- Ability to partner and collaborate with Sales and other cross-functional leaders
- Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions
- Technical or consulting background either in Data Engineering, Database technologies or Data Science
- Strong communication skills. Italian native-speaker and fluent in English.
Note: Location for the role is either Paris or London (i.e. within commutable distance).
#LI-hybrid
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Senior Software Engineer (Hybrid)
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Senior Engineer
Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)
Who We Are
At 8th Light, we bring life to the best ideas.
Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise.
Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.
If this kind of work and our kind of people energizes you, you’ve found the right place.
Who You Are
You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have:
- Successfully contributed to high-stakes consulting engagements from discovery to production
- Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
- Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served
- Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate
- Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics)
- Used context-appropriate automated testing to inform software design choices and catch bugs
- Debugged and refactored pre-existing code to incrementally improve it
- Collaborated with teams using Git, MacOS/Linux, and CI/CD
- Remedied architecture-level concerns such as scalability, security, reliability, and performance
- Contributed to forums that encourage idea sharing, collaboration, and problem solving
- Made thoughtful recommendations and set direction in the face of ambiguity
- Mentored and shared knowledge with colleagues
- Actively sought out and effectively given feedback
- Communicated empathically with stakeholders and colleagues
- Influenced stakeholders to balance technical considerations with product and user needs
What You’ll Do At 8th Light
As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for:
- Making immediate contributions to projects, rapidly building trust with your clients and team
- Working pragmatically to balance technology choices while delivering high-quality work within deadlines
- Contributing to architecture and software design discussions
- Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
- Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
- Contributing to formal feedback conversations with teams and clients via retrospectives
- Clearly articulating and documenting outcomes and driving forward action items
- Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
- Identifying, mitigating, and resolving blockers to team progress
- Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry
- Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate
Strongly Preferred Skills
We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:
- MLOps: including tools like LangChain for application development and managing the ML lifecycle
- Data Engineering: including platforms like Databricks for data processing and analytics
- DevSecOps & DevOps
- Infrastructure as Code
Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences.
How You’ll be Supported
At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future.
Our wellness package is designed with the Whole YOU in mind and includes:
- A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
- Coworking support for our global team
- 12 weeks of new parent leave available for eligible employees
- Transparent semi-annual promotion panel
See our full list of Benefits.
A Note on Compensation
At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.
We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within London is: £56,640-£70,800 GBP.
Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.
8th Light Hubs and Geographies
8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle.
- London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.
We hope to see you apply!
#LI-Hybrid
A Note on Your Privacy
At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process.
Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.
Ready to apply?
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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing.
The Opportunity at Altana
The Implementation team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations.
Specifically, the team is focussed on:
- Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities
- Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base
- Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture.
- Work in a cross-functional team of engineers, data scientists, and product managers
- Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment
About You
You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes ownership of the end-to-end design and operation of data solutions and refines the systems to deliver measurable results.
- 8+ years of technical experience in data engineering or closely related roles
- You have extensive experience across the design, development, and maintenance of complex data models from a variety of sources and schemas
- Demonstrated track record of leading the full lifecycle (Design, Development, Test, Deploy, Monitor, Maintain) of data ingestion and standardization pipelines at scale
- A demonstrated drive for sustainable software development, self-healing data workflows, and a deep appreciation for data security and data governance
- Experience leading and mentoring other engineers on complex data engineering projects
- You are eligible and willing to obtain UK Security Check (SC) clearance or have an active clearance already
- Excellent written and verbal communication skills, with a track record of successfully interacting directly with external customers and stakeholders to scope technical work and manage expectations
- Keep up to date with latest trends in data engineering and care deeply about engineering excellence and knowledge sharing
Nice to have, but not required
- Expertise or experience with the deployment of ML pipelines.
- Exposure to trade compliance, supply chain management or a field similarly related to international commerce.
- Experience working with or within the public sector.
- Experience with the responsibilities involved in managing a data platform, including monitoring and managing releases, costs, and infrastructure changes.
- Familiarity using AI tools to enhance the quality & pace of your output.
Technologies we love
- Languages: Python, Spark, SQL
- Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker
- Datastores: Databricks, OpenSearch, Postgres
This role is based in our London office, with hybrid work flexibility and candidates must be within commuting distance from our hub location.
Our Values
Our values are the core beliefs that shape who we are, what we stand for, and how we behave.They form the foundation of Altana’s culture and integrity and guide how we hire, design, build, and connect with each other and our customers.
- Trust: Our customers and partners entrust us with missions of the highest importance. We honor that by keeping our word, meeting commitments, and ensuring every action we take reinforces confidence in us. We rely on each other to deliver, to speak openly, and to hold ourselves accountable.
- Resilience: In a world of uncertainty and complexity, our work must withstand challenges, evolve with conditions, and ensure reliability over time. Resilience is both how we operate and what we deliver. It’s how we respond when things don’t go to plan –– we adapt, we support each other, and we keep moving forward.
- Stewardship: We are stewards of every mission we touch. Because our work impacts lives and futures, we hold ourselves accountable to delivering mission impact and never compromising. Our responsibility extends beyond individual projects to the broader system of global trade. We believe that stewardship starts from within so that we can bring focus, creativity, and excellence to our work. Each of us is personally responsible for fostering a workplace where people can thrive. And we are stewards of the greater good of the company. By holding ourselves and each other accountable, we build a culture of innovation and collective success that reflects the scale of our mission.
- Courage: Courage is what unlocks the seemingly impossible for our customers. It’s the core value that drives us make bold moves and take on big, complicated network problems—the ones others avoid. We know success isn't guaranteed, but we have the audacious vision to believe a solution is possible and to build it. Courage fuels our growth mindset. It means embracing challenges that make us stronger, and it’s demonstrated by how we approach hard conversations and complex projects.
At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.
Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process.
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Strategic Account Executive - Retail
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SLSQ226R759
As a Strategic Account Executive, you will own a large enterprise account and be accountable for a clear, executable strategy to exceed revenue, bookings, and consumption goals. You will execute with urgency and discipline, consistently overachieving targets while building deep, boardroom-level relationships and serving as a trusted Data & AI advisor to C-suite stakeholders.
Your mission is to drive sustained growth and deepen engagement within one of our most strategic customer partnerships in the region.
What You’ll Do
- Own and execute an account strategy that accelerates revenue growth and drives increased platform consumption
- Build and maintain executive-level relationships, acting as a strategic advisor on Data & AI transformation
- Co-develop a comprehensive business plan with internal teams and ecosystem partners to exceed quarterly and annual bookings and consumption targets
- Lead customers, partners, and internal stakeholders to identify high-impact big data and AI use cases, proving business value on the Databricks Data Intelligence Platform
- Drive customer transformation through a coordinated approach that includes strategic partnerships, scoped professional services, training, and targeted executive engagement
- Orchestrate cross-functional teams to ensure customer success, long-term adoption, and expansion
The Impact You’ll Have
- Accelerate customer success by translating business priorities into measurable Data & AI outcomes
- Expand and deepen one of the company’s most strategic enterprise relationships
- Enable customers to realise tangible value from big data and AI initiatives at scale
- Consistently exceed revenue, booking, and consumption goals through disciplined execution and strategic leadership
What We’re Looking For
- Proven experience managing large, enterprise accounts and leading complex, multi-stakeholder sales cycles (retail experience preferred)
- Background in Big Data, Cloud, or SaaS environments
- Track record of exceeding quotas in high-growth enterprise software companies
- Experience driving usage- and commit-based engagement models
- Strong co-selling experience with cloud vendors and Global Systems Integrators
- Demonstrated ability to build executive business cases and secure C-level sponsorship
- Expertise in value-based selling within complex enterprise environments
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Partner Business Development Manager – Data & AI
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Thoughtworks is looking for a seasoned Partner Business Development Manager to own and scale our Europe partnerships with the Data and AI ecosystem. This is not an alliance role. It's a revenue-driving, pipeline-generating, deal-closing position that sits at the intersection of strategic partnership and enterprise sales.
You'll be the single Europe owner of the Data & AI partners, responsible for turning a high-potential partnership into a compounding growth engine. You'll define joint go-to-market strategy, embed Thoughtworks capabilities into Data and AI partners (Databricks/Snowflake) field motions, and close complex, multi-party Data & AI transformation engagements alongside Databricks/Snowflakes' own sales and partner teams.
You are the tip of the spear. Databricks/Snowflake sellers should know your name, take your call, and want to bring you into deals. If that's not true from day one, it becomes your first problem to solve.
Job responsibilities
- Own the Europe Data & AI partner ecosystem sales — and the Relationship Behind It Be the primary owner of the Databricks/Snowflake partnership Europe. That means more than managing a business plan — it means knowing at all times how Databricks/Snowflake ranks Thoughtworks relative to other SIs, what our attributed contribution looks like in their eyes (not ours), and what you're actively doing to close any perception gaps. Pipeline numbers matter. But if we're hitting a number while Databricks views us as a low-value contributor in their ecosystem, that is a failure.
- Generate Pipeline — Without Waiting for Anyone Else Own pipeline generation and revenue targets for the Data & AI alliance. You will not wait for marketing campaigns, polished offerings, or perfect conditions to engage the market. You'll maintain a live target list of 10–15 Databricks/Snowflake sellers and contacts you are actively cultivating, a clear conversational pitch for our top offerings you can deliver without a deck, and a pipeline-building plan that is entirely within your control. When campaigns and demand gen programs arrive, you pour fuel on a fire that is already lit.
- Show Up Early and Create Energy Around Emerging Capabilities The best partner sales leaders use early-stage narratives to open doors — they don't wait for a finished deck. When Thoughtworks has an emerging Data & AI capability, your job is to be out in the Databricks/Snowflake field creating excitement around it. Pick up the phone. Get in front of sellers. Create pull before the offering is fully baked.
- Shape and Execute Joint Go-to-Market Strategy Define and continuously evolve the Thoughtworks + Databricks/Snowflake joint GTM narrative — spanning Data Intelligence Platform, Mosaic AI, Delta Lake, Unity Catalog, Unistore and Databricks' broader ecosystem. Align with Databricks/Snowflake counterparts on priority verticals, target accounts, and solution plays. Orchestrate tri-party co-sell motions that weave in hyperscaler relationships (AWS, Azure, GCP) where Databricks/Snowflake is the data and AI layer of choice.
- Integrate Offerings into Client Engagements Embed Databricks/Snowflake-based solutions into Thoughtworks proposals, POCs, and delivery plans across Data Engineering, ML/AI, GenAI, and Analytics modernization. Advise clients and internal teams on when Databricks/Snowflake is the right platform choice. Coordinate across delivery, marketing, and sales to ensure a seamless partner and client experience.
- Build Practice Presence and External Credibility Develop Thoughtworks' Databricks/Snowflake reputation in the market through thought leadership, joint events, Databricks Summit participation, and reference client development. Champion Databricks/Snowflake capability internally by growing certifications, enablement, and a community of practice.
- Move Fast and Communicate Clearly When there's a problem, bring a plan — not a 30-slide deck. What's the issue, what are you doing about it, when will results show, and what do you need unblocked. When there are obstacles — and there will be — come with what you've already done to work around them, not just a list of dependencies. Simplicity signals clarity of thought.
Job qualifications
Technical Skills
- Market-facing energy and a proactive mindset. You ask yourself every week what you've done to create pipeline momentum that didn't depend on anyone else. If the answer is nothing, that's a problem — and you know it.
- Deep Databricks/Snowflake ecosystem knowledge. Hands-on familiarity with the Databricks/Snowflake platform — Data Intelligence Platform, Mosaic AI, MLflow, Delta Lake, Unity Catalog — and a clear understanding of their partner GTM programs, internal incentives, and how to position a services partner as indispensable to their field teams.
- A track record of alliance revenue, not just alliance activity. You've built a named technology partnership that generated measurable, attributable pipeline and closed revenue. You know the difference between a relationship and a revenue engine — and you've built the latter.
- A network you activate, not just a rolodex. You have existing relationships with Databricks/Snowflake sellers, partner success teams, or equivalent hyperscaler field teams that you can activate from day one.
- C-level credibility. You've influenced senior enterprise stakeholders on strategic data and AI transformation decisions and can bridge the technical and commercial — speaking with authority to data engineers and architects, and translating that into business value narratives for the C-suite.
- A 60-second pitch for our top offerings. You can walk into a hallway conversation with a Databricks/Snowflake seller and excite them about what Thoughtworks brings — without a deck, without a slide, and without warming up. It doesn't need to be perfect. It needs to be compelling.
- Solutions orientation. You understand that dependencies are real — marketing takes time, offerings evolve, internal alignment is messy. The difference is: you tell us what you're doing in the meantime, not just why something can't happen yet.
Professional Skills
- Significant progressive experience in strategic alliances, partner sales, or business development within the Data & AI or enterprise technology space.
- Demonstrable experience working with or within Databricks'/Snowflake partner ecosystem — either from the Databricks/Snowflake side or as a GSI/consulting partner.
- Proven success closing large, complex Data & AI transformation deals in co-sell or channel motions.
- Practical exposure to cloud platforms (AWS, Azure, GCP) as they relate to Databricks/Snowflake deployment and go-to-market.
- Willingness to travel for partner engagements, client meetings, and industry events including Databricks Summit.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Responsible Use of AI in Recruitment
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Onsite
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Data Engineer
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Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
Spaulding Ridge is an advisory and IT implementation firm. We help global organisations get financial clarity into the complex, daily sales and operational decisions that impact profitable revenue generation, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values are our relationships with our clients, business partners, team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
We are looking for a Data Engineer to join our excellent Data Solutions team in London.
We implement data analytics platforms for our customers based on the Modern Data Stack approach, leveraging tools like Workato/Boomi, Snowflake/BigQuery/Microsoft Fabric/Databricks, dbt and Sigma/Omni/Looker. We are a Consulting Partner of those technologies, so we are in close contact with their Sales and Solutions teams to support customers in testing, implementing and adopting those tools.
Our clients range from the hottest scale-ups in Europe to famous public enterprise companies.
The role
- Model data as an Analytics Engineer in tools like dbt to create business logic from raw data.
- Assess clients' data infrastructure, identify improvements, and propose creative solutions and designs to tackle their challenges.
- Evaluate and design several data model pipelines for specific use cases and deliver technical presentations.
- Understand and manage modern Data Warehouses like BigQuery and Snowflake (schema structures, access control, performance, costs).
- Manage data ingestion through managed ELT tools like Workato, Boomi, and Fivetran as a first approach to data integration; custom data pipelines deployment based on cloud services is a plus.
- Get certified in our core technologies if you aren’t yet, mainly Snowflake SnowPro Core, Google Cloud Professional Data Engineer, and/or dbt Certified Developer.
- Deliver training, technical presentations, and co-development sessions with customers to help them implement a Data Stack.
- Participate in pre-sales conversations with prospective clients to define the scope and estimate the work for the project.
- Stay up-to-date to help customers prepare for using new features. Learn new tools at the advanced level and help customers do the same.
- Think beyond the task at hand; understand how our customers define their own success with the tool and help them work toward that goal.
- Share your knowledge, support the internal team, and learn from your peers on internal office hours and individual sessions.
You have
- Relevant experience modelling data, manipulating datasets, managing data warehouses, and high proficiency in SQL.
- Programming experience, ideally in Python, but other languages considered.
- Experience with any Cloud Provider (Azure and GCP preferred) and their respective data services.
- Experience with Git, CI/CD, and Infrastructure as code (like Terraform).
- Knowledge of any BI tool such as Omni, Sigma, Looker, PoweBI, etc.
- Self-motivation to study, discover new products and technologies in the data landscape.
- Ability to speak and write in English (fluently). The vast majority of our projects are delivered in English.
- Experience in delivering technical presentations.
#LI-DR1
Spaulding Ridge’s Commitment to an Inclusive Workplace
When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.
At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge.com). Requests for reasonable accommodation will be considered on a case-by-case basis.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
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Senior Programme / Product Delivery Lead - Global People Data
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WPP is the trusted growth partner for the world’s leading brands.
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.
We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
For more information, visit WPP.com.
Why we're hiring:
We are seeking an experienced and highly organised Senior Programme / Product Delivery Lead to strengthen delivery leadership within the People Data & Insights team. This pivotal role will own the end-to-end delivery orchestration for WPP's global people data product, ensuring work is prioritised, sequenced, and delivered consistently across multiple dependencies and diverse stakeholders.
This role is critical for improving delivery confidence and enabling leadership to focus on strategic direction and future state design, thereby reducing the current reliance on senior leadership for day-to-day coordination and escalation.
What you'll be doing:
- Own and maintain the integrated delivery plan for the global people data product across all critical workstreams (e.g., core data, reporting, regulatory compliance like EU Pay Transparency, integrations with Workday and other systems, analytics).
- Proactively identify, manage, and mitigate dependencies, risks, and delivery trade-offs across various groups, including business platforms, people operations, and other enterprise initiatives.
- Act as the primary escalation point for delivery issues, ensuring timely decision-making and providing clear direction to overcome obstacles.
- Translate overarching strategic priorities and product vision into executable delivery plans, concrete milestones, and measurable outcomes.
- Coordinate delivery efforts seamlessly across engineering, analytics, and diverse stakeholder groups (People/HR teams, Enterprise Technology, Network representatives) to ensure alignment, maintain momentum, and drive progress.
- Establish and continuously refine effective ways of working, delivery frameworks, and road-mapping processes to enhance efficiency and predictability.
- Ensure transparent and consistent communication regarding delivery status, challenges, and successes to all relevant stakeholders, including senior leadership.
What you'll need:
- Experience in programme management, product delivery, or a senior project management role within a data, technology, or complex enterprise environment.
- Proven track record of successfully orchestrating and delivering complex data or technology products across multiple teams and geographical locations.
- Strong understanding of agile methodologies and experience implementing pragmatic delivery approaches.
- Exceptional organizational skills with the ability to manage integrated delivery plans, dependencies, and risks across various workstreams.
- Demonstrated ability to translate strategic vision into actionable plans and tangible deliverables.
- Excellent communication, negotiation, and conflict resolution skills, capable of influencing and engaging diverse technical and non-technical stakeholders at all levels.
- Experience in identifying and resolving complex delivery issues, providing clear direction under pressure.
- Familiarity with data platforms, data warehousing, and analytics concepts (e.g., Databricks, dashboarding, data pipelines).
- Ability to work effectively in a fast-paced, global, and matrixed organization.
Preferred:
- Experience within HR technology, People Analytics, or Human Capital Management (HCM) systems (e.g., Workday).
- Understanding of data governance, data quality, and compliance-driven data projects (e.g., GDPR, EU Pay Transparency).
- Experience with product management concepts and road-mapping for data products.
- Proficiency with project management and collaboration tools (e.g., Jira, Confluence, Azure DevOps).
- Experience leading or mentoring junior project/programme managers or delivery leads
Who you are:
You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
#LI-Hybrid
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.
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Manager, Delivery Solutions Architects
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JOB ID: FEQ327R155
Location: London, UK
As a Delivery Solutions Architect Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, Professional Services and Partners teams across the UK to shape the post-sales delivery strategy for our major customers and will report to the UK SSA & DSA leader.
DSAs collaborate with sales and engineering teams to drive our customers' adoption and growth. They guide complex customers to maximise platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth with technical expertise across Databricks products. They are engaged at all organisational levels to drive adoption.
Reporting to the Senior Manager, Field Engineering
Your role will have 3 main pillars:
- People: Hire, coach and support a diverse team able to ensure our customers’ success in their roadmap delivery
- Business: You will contribute to the region's growth by positioning your team’s services with our customers and generating a continuous pipeline of DSA subscriptions.
Leadership: You will be the technical sponsor and thought leader for a number of selected customers.
You and your team will contribute to the creation of assets to build the Delivery Solution Architect practice and improve effectiveness and consistency in working with customers.
The impact you will have:
- Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (business value, usage growth, career growth and hiring)
- Assign accounts and distribute work across individuals for optimal customer coverage and team balance
- Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology
- Partner with Sales, pre-sales and professional services teams to accelerate the growth of customers
- Work with teams to reduce customer risk and help your team with escalations.
- Lead team activities to monitor customer progress and forecast growth
- Provide input to grow and improve internal processes and customer success service offerings
- Promote cross-functional programs, plans, and documentation
What we look for:
- 7+ years of experience in a customer-facing role
- Experience leading a team of pre- or post-sale consultants/solution architects, technical account managers or customer success engineers.
- Experience in organisational and financial planning (e.g revenue forecast) on a team/department level
- Conversant with business issues our customers face today, and likely big data use cases in different industries
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Infrastructure & Database Engineer
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About Rimes
Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world’s leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology.
The Opportunity
The Rimes Technologies Infrastructure Team is the very heart of the Technology Organization, its primary objectives to ensure that the Technology in use by Rimes customers is innovative, reliable, performant, scalable and secure. Delivering world class Customer experience for our both External and Internal users to the Rimes Corporation.
We operate global services, our teams are both passionate and committed to the demands of our customers ensuring that we are both innovative and proactive in delivering the technology and mission critical data within SLA. Rimes delivers its technology from both our own datacenter and the Cloud.
We are currently recruiting for a Senior infrastructure & Cloud Engineer to join our global Technology team. This is an excellent opportunity to join a well-established firm with a global presence and significant growth potential.
As a Senior Infrastructure & Database Engineer, you will:
- Act as technical lead for infrastructure and cloud projects, owning delivery from planning through to implementation
- Own and support SQL and database platforms, ensuring performance, reliability, and scalability across production environments
- Drive architectural decision-making within the infrastructure team, ensuring solutions are scalable, secure, and aligned to best practices
- Build, configure, and maintain infrastructure across Microsoft Azure and on-premise environments
- Support and optimise VMware-based platforms, including compute, storage, and associated services
- Lead incident response for complex issues, acting as an escalation point and driving root cause analysis
- Collaborate with cross-functional teams (development, data) to deliver reliable and high-performing platform services
- Accurately track and update work in Jira and Tempo, ensuring visibility of progress, discovered work, and blockers
Key Requirements:
- Strong Understanding supporting SQL environments and data platform infrastructure
- Strong experience supporting hybrid infrastructure environments (cloud and on-premise)
- Hands-on expertise with Microsoft Azure, including core infrastructure services
- In-depth experience of VMware virtualisation and enterprise infrastructure platforms
- Strong understanding of Windows Server and core services
- Experience using Infrastructure as Code
- Proven experience leading technical projects and leading architectural decisions
Nice to Have:
- Familiarity with automation tools (e.g. Terraform, Ansible)
- AWS exposure
- Databricks or data-platform adjacent experience
- Relevant certifications (Azure, VMware, Networking)
What We Offer:
- 28 days of annual leave
- AXA Gym Membership Discount
- Healthshield Cashback plan
- Healthshield Perks platform (Breeze)
- MetLife Afterlife Support
- Metalife GP 24 hour virtual GP service
- Annual ‘purchase holiday’ scheme
- Chubbs Travel Insurance
Compensation: Competitive pay and bonus eligibility
Work Life Balance: Flexible hybrid work environment
Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.
Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.
Visit our Careers page to see our complete listings.
Ready to apply?
Apply to Rimes Technologies
Senior Data Engineer
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Senior Data Engineer
Who we are
Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.
We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.
Job Summary
We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.
Key Responsibilities
- Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
- Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
- Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
- Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
- Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
- Develop and enforce best practices in data governance, security, and compliance within the organisation.
- Optimise data retrieval and develop dashboards and reports for business teams.
- Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.
Qualifications
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
- Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
- Demonstrated experience with Infrastructure as Code tooling such as Terraform
- Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
- Proven leadership skills and experience managing data engineering teams.
- Excellent problem-solving skills and the ability to work with ambiguity.
- Proficient in leveraging AI-assisted workflows to optimise task efficiency.
- Strong communication and interpersonal skills.
- Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.
Preferred Qualifications:
- Certifications in Azure, AWS, or GCP.
- Certifications in Databricks, Snowflake or similar technologies.
- Experience in the leading large scale data engineering projects.
Working Conditions
- Hybrid work arrangement: two-three days per week working from the office
Ready to apply?
Apply to ArtefactSenior Data Engineer
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Senior Data Engineer
Who we are
Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.
We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.
Job Summary
We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.
Key Responsibilities
- Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
- Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
- Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
- Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
- Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
- Develop and enforce best practices in data governance, security, and compliance within the organisation.
- Optimise data retrieval and develop dashboards and reports for business teams.
- Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.
Qualifications
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
- Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
- Demonstrated experience with Infrastructure as Code tooling such as Terraform
- Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
- Proven leadership skills and experience managing data engineering teams.
- Excellent problem-solving skills and the ability to work with ambiguity.
- Proficient in leveraging AI-assisted workflows to optimise task efficiency.
- Strong communication and interpersonal skills.
- Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.
Preferred Qualifications:
- Certifications in Azure, AWS, or GCP.
- Certifications in Databricks, Snowflake or similar technologies.
- Experience in the leading large scale data engineering projects.
Working Conditions
- Hybrid work arrangement: two-three days per week working from the office
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Senior Sales Engineer, Commercial
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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a talented Sales Engineer to join our Commercial sales team. As a Commerical Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle.
This is a full-time position based out of London.
Technologies You’ll Use
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java
What You’ll Do
- Work with Commercial customers to understand their business, their use cases, and their data replication requirements
- Develop and deliver technical presentations to Commercial audiences
- Ensure the technical win by running an organized proof-of-value process
- Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole.
- Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence
- Stay up-to-date on the latest technologies and trends in our industry
- Assist team members in advanced technical or business roadblocks
Skills We’re Looking For
- 4+ years in data replication, sales engineering, or related technical field
- Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience
- Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
- Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
- Strong problem-solving and analytical skills
- Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
- Hands on experience with other data replication or ETL tools
- Experience with self-hosted software applications and supporting infrastructure
- Hands on networking experience both in the cloud and on-premise
Bonus Skills
- Experience developing partner relationships
- Specialized expertise in security posture
- Experience with self-hosted and SaaS software applications
- Hands on experience with DBT
#LI-LA1
#LI-Remote
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Ready to apply?
Apply to Fivetran
Senior Security Engineer, Incident Response
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RDQ326R15
The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics.
You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks.
The impact you will have:
- You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.
- You will triage and respond to security events and alerts, ensuring quick and effective containment.
- You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
- You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team.
- You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.
What we look for:
- Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
- Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others.
- Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting.
- Broad security subject matter expertise.
- Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
- Experience with Enterprise Security and SaaS applications.
- Working knowledge of a SIEM and SOAR.
- Experience building Incident Response Tooling and scripting language skills.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Enterprise Account Executive - UK
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About the Team:
We’re looking for a hardworking, focused and driven Enterprise Account Executive to channel energy, passion and initiative into new logo acquisition. You'll be responsible for developing and executing against a comprehensive account/territory plan whilst working collaboratively with our internal and external resources. This is a 100% remote role with preference for candidates located in the Greater London Metro.
About the Role:
- Proactively, identify, qualify and close sales pipeline across your territory and accounts
- Close business to meet and exceed monthly, quarterly and annual business targets
- Demonstrate an extensive understanding of the Obsidian Security offering and our value to our customers
- Align with our partners and alliances to optimize opportunities
- Partner with internal resources across Sales Engineering, Customer Success and Professional Services
- Demonstrate accurate pipeline forecasting and management
- Actively participate in our sales enablement training
About You:
- 5+ years of enterprise sales experience
- Working knowledge of sales concepts, methods and techniques
- Experience evangelizing new technology into large enterprise accounts.
- Able to maintain and manage existing client relationships and accounts.
- Able to utilize existing client and/or C-Level relationships, as well as build new relationships across IT Security as well as other lines of business.
- Self Starter that creates and maintains a sales pipeline by capturing accurate and complete information in selected CRM databases including activity, closing, project forecast, close ratios and market intelligence.
- Strong ability to understand a customer's business issues and needs and be able to articulate and map back value to a solution.
- Strong prospecting skills, deal qualification, and POV management skills, leading to acquisition of new business.
- Team player with the ability to collaborate well with internal stakeholders or partners to drive opportunities to closure.
- Need to maintain and keep up with market trends, competitor analysis, and market conditions which may impact customers.
- Able to learn quickly and ramp to be able to effectively articulate and differentiate the value of our product to prospective clients.
Employee Benefits
Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy:
- Competitive compensation with equity and 401k
- Comprehensive healthcare with dental and vision coverage
- Flexible paid time off and paid holiday time off
- 12 weeks of new parent or family leave
- Personal and professional development resources
For more details on our US benefits, or for information on our international benefits, please see here.
Pay Transparancy
Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.
At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com
Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy.
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Apply to Obsidian Security
EMEA Energy Industry Go-To-Market (GTM) Leader
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Req ID: FEQ427R219
Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Energy industry go-to-market (GTM) motion across the Europe, Middle East, and Africa (EMEA) region. As a key member of our global industry GTM team, you will shape and drive how Databricks engages the energy sector in one of the world's most dynamic markets. Reporting to the Global GTM Head for Manufacturing, Transportation, and Energy, you will collaborate deeply on a day-to-day basis with EMEA sales, field engineering, and GTM leadership.
You will operate at the intersection of industry expertise, customer engagement, and commercial strategy, helping Databricks win in a market where data and AI are redefining how energy systems are built and optimized to support future economic growth. If you bring deep industry domain knowledge, the ability to set the vision for AI at the world’s largest energy companies, and a proven track record of harnessing the transformative potential of data and AI to drive real business value, we want to hear from you.
Key Responsibilities:
- Strategic Vision & Executive Engagement: Lead AI vision-setting engagements with top energy accounts, advising CEOs and executive teams on strategic adoption and impact. Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the EMEA region.
- GTM Strategy & Pipeline Growth: Lead the strategic and operational execution of GTM initiatives across the energy sector in EMEA, including oil and gas, power and utilities, renewables, and mining. Drive pipeline growth and accelerate customer adoption. Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights.
- Cross-Functional Alignment: Build strong alignment with EMEA sales, field engineering, marketing, partnerships, and product teams. Develop and execute industry-specific GTM programs that convert market opportunity into revenue.
- Thought Leadership & Market Analysis: Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry. Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities.
- Travel regularly to support customer meetings, executive engagements, and industry events.
Qualifications:
- Education: Bachelor's degree in Business, Engineering, or a related field. An MBA or equivalent post-graduate qualification is strongly preferred.
- Industry Leadership: 10+ years of leadership experience in the energy sector. This must include at least 5 years in a GTM, strategy, or business development role within strategic consulting (ex-MBB preferred) and product-led technology companies.
- Commercial Success: Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes.
- Domain Expertise: Expert-level domain knowledge in one or more of the following areas: subsurface intelligence, industrial AI, energy and commodity trading, and grid resilience. Familiarity with key energy industry standards bodies and frameworks across the EMEA region. Strong understanding of the modern data and AI technology landscape and how it applies to every aspect of the energy sector.
- Soft Skills & Collaboration: Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization. A track record of building trusted relationships with senior executives in a multilingual, multicultural market like EMEA. Exceptional communication skills—both written and verbal—with the ability to translate technical and data concepts into compelling business narratives for executive audiences.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Technical Program Manager, Professional Services
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CSQ227R255
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. As a Senior Technical Program Manager (TPM), you lead the charge in changing how people work with data. You will drive high-stakes, multi-workstream programs that have a material impact on customer success and scalability. Your technical expertise and strategic influence will be critical for guiding complex engagements to success and fostering a culture of continuous improvement. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals.
The Impact You Will Have
- Architecting Standards: You will install operating rigor (cadence, metrics, reviews) that doesn't just serve one project, but becomes a "gold standard" adopted by other TPMs across the region.
- Cross-Functional Synergy: You will lead high-visibility initiatives that require deep collaboration across Product, Engineering, and Marketing, resolving complex misalignments with M6-level Directors that threaten project velocity.
- Strategic Risk Leadership: You will manage the change management process for large-scale digital transformations, ensuring that customer organizations are culturally and technically ready to adopt the Lakehouse architecture.
- Knowledge Multiplication: You will contribute significantly to the Databricks community by documenting best practices and leading internal training sessions to level up the entire Professional Services organization.
What We Look For
- Experience: 8–12+ years leading large-scale technical programs for external customers.
- Technical Fluency: Advanced technical fluency; 2 Databricks Associate Certifications or 1 Professional-level Certification required within 6 months of hire.
- AI Strategy: Proven track record of leveraging AI-enabled tools to optimize large-scale program delivery and cross-functional synergy.
- Senior Leadership: Proven ability to engage, influence, and build trust with senior executive stakeholders (CxOs).
- Scope: Experience successfully managing projects with teams of up to 5 people and contract values in excess of $0.5M.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Staff Applied Scientist
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The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
Our work spans three interconnected areas:
- Marketplace Execution: building the control systems, supply prediction models, and decisioning logic that enable buyers to execute their customized strategies efficiently and at scale.
- Marketplace Curation: developing recommendation systems and curation frameworks that help buyers construct customized inventory strategies balancing audience relevance, publisher quality, and scale.
- Inventory Science: designing the measurement frameworks and causal methods that quantify the impact of marketplace decisions on advertiser outcomes, and translate complex trade-offs into actionable insight.
Responsibilities
- Build and maintain control systems that dynamically allocate ad budgets across sell-side partners based on quality signals and performance targets.
- Design and analyze experiments using causal inference methods to measure the impact of inventory decisions on advertiser KPIs, and develop the metrics that make those trade-offs visible and actionable.
- Build the recommendation systems and curation frameworks that help buyers find supply that reaches their target audiences at scale and delivers on their campaign outcomes.
- Develop time series models to anticipate supply volume shifts and help buyers and partners plan accordingly.
- Partner with engineering, product, and business teams to translate research into scalable, production-ready systems that improve marketplace value for buyers and sellers.
- Define the applied science roadmap for the team — identifying high-impact problems, scoping solutions end-to-end, and driving projects from research through production.
Who You Are
We're looking for a Staff Applied Scientist who thrives at the intersection of rigorous methodology and real-world systems. You are comfortable moving between statistical modeling, experiment design, and ML, and you know how to translate that work into scalable solutions that have a measurable impact on how billions of ad dollars are spent. You care about getting things right, and you're motivated by problems where the stakes are high and the data is complex.
- Advanced degree in data science, statistics, machine learning, economics, applied math, computer science, or a related field
- 7+ years of experience in data science or 5+ years of experience with a PhD
- Experience of owning projects end-to-end (from research to productionization at scale)
- Strong grounding in machine learning, statistics, experimental design, causal inference, and metric development
- Experience with recommendation systems or ranking models
- Experience with large‑scale data processing (e.g., Spark, EMR, Databricks)
- Comfortable with practices that enable reproducible analyses and useful prototypes—clean code, version control, and code review
Nice to Have
- Experience in programmatic advertising, real-time auctions, or supply-side systems
- Familiarity with control theory, constrained optimization, or budget allocation systems
- Experience building or applying agentic AI workflows, including the use of LLMs for automation, decision support, or data-driven product features
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Ready to apply?
Apply to The Trade DeskWho We Are:
Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality.
Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S.
We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.
Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
To learn more about our businesses and products, visit www.galaxy.com.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
- Seek Excellence.
- Be Selective To Be Effective.
- Be Highly Aligned, Loosely Coupled.
- Disagree Transparently.
- Encourage Independent Decision-Making.
- Build Dream Teams.
Who You Are:
We are seeking a skilled Python developer to join our dynamic Financial Engineering team; where you'll build innovative reporting solutions that drive key financial decisions. This is a unique opportunity to work at the intersection of technology and finance, tackling complex challenges in a fast-paced, impact-driven environment.
You should have a strong background in software development, expert level knowledge of SQL, and a good understanding of crypto trading.
You should have the ability to work independently, have strong analytical and problem-solving skills, with a desire to own issues and see them through to resolution.
What You’ll Do:
- Collaborate with the Finance Engineering team to maintain and enhance existing solutions
- Work with internal Finance and Accounting clients to develop new solutions
- Provide first-line support to internal clients. This involves dealing with queries from clients and identifying and resolving issues
- Contribute to new Finance Engineering initiatives
What We’re Looking For:
- Excellent programming skills in Python and strong working knowledge of Pandas and PySpark libraries
- Excellent knowledge of relational databases and SQL
- Experience with integration of multiple platforms
- Experience with ETL processes
- Experience providing first-line support for business clients
- Full SDLC process experience
- Excellent communications skills, both written and verbal
Bonus Points:
- Technical experience with Databricks or any similar Delta Lake platforms
- Experience working with large datasets
- Experience with AWS cloud deployments and API
- Experience with Docker and Kubernetes
- Experience with Go, C#, or Java.
- Familiarity with financial statements (e.g. balance sheets, income statements / PnL).
- Familiarity with Crypto trading (spot, DeFi, and derivatives)
What We Offer:
- Competitive base salary and discretionary bonus
- Company-paid health and protective benefits for employees and their eligible dependents
- Free virtual coaching and counseling sessions
- Opportunities to learn about the Crypto industry
- Smart, entrepreneurial, and fun colleagues
- Employee Resource Groups
*Benefits may vary depending on location.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.
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Apply to Galaxy
Strategic Account Executive, UAE
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SLSQ227R380
Location: London (relocation to Dubai expected early 2027)
Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.
Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape.
We are looking for an Account Executive to manage our most strategic customer in the UAE. The role will be based in London and will require you to travel to the UAE on a regular basis.
As a Strategic Account Executive, you are a sales professional experienced in selling to large Enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and Partners. Always looking for new opportunities, you will close new accounts while maintaining existing accounts.
You will report to the Sales Director for the UAE.
The impact you will have:
- Assess your territory and develop a successful execution strategy
- Exceed activity and quarterly revenue targets
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Identify new use case opportunities and showcase value to existing customers
- Promote the value of the Databricks' Data Intelligence Platform
- Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients
- Build and demonstrate value with all engagements to guide successful negotiations to close point
What we look for:
- Extensive understanding of the data platform, open source and cloud ecosystems
- Highly skilled in prospecting research and ability to map out key stakeholders
- Demonstrated success in Value Selling and developing a mutual action plan
- Ability to influence decision-making and strategy with customer leadership teams
- Ability to establish credibility with the C-suite
- Adept in selling to technical buyers
- Mastery of MEDDPICC
- Bachelor's Degree or relevant work experience
- Fluency in English is required, fluency in Arabic is preferred
- Willingness to relocate to Dubai in early 2027
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Analytics Engineer
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Senior Analytics Engineer
We are looking for a talented Senior Analytics Engineer to join our Data Mission, where you'll take technical ownership of how we model, transform, and activate data at scale. Using a cutting-edge tech stack including dbt, Databricks, and Kafka, you'll define the standards that the team works to and build the data products that power decisions for millions of users.
We are proud to say that our engineers at ClearScore are world class and at the heart of making this mission a reality for our millions of users. For more information on our tech stack check out our 2026 Tech Radar, how we work is summarised in our Engineering Principles and we have many other Tech Blogs on Medium.
What you will be doing:
- Taking technical ownership of large data initiatives, leading delivery end-to-end across multiple components, stakeholders, and delivery phases
- Setting and upholding best practice standards for analytics engineering across our entire data model, from data modelling conventions and dbt patterns to testing, documentation, and observability, and ensuring these standards are understood and applied consistently
- Leading data model design discussions and shaping architectural direction, including designing new schemas from the ground up with best practices and end-user utility in mind
- Shaping how we use SQL, dbt, Databricks, and AI at scale — advising on complex or high-risk transformations and contributing to tooling and architectural direction
- Bringing a system-level perspective on lineage, workflows, and observability, ensuring the organisation can reason clearly about data flows, dependencies, and accountability
- Coaching and mentoring engineers across the team, building capability through code reviews, design discussions, and knowledge sharing
- Collaborating with Platform and Data Science teams to define requirements for new data products and troubleshoot upstream data issues
Skills we'd love you to have:
- You are an expert in SQL and dbt, and you apply this to design and build robust, scalable data transformations on platforms like Databricks
- You have strong experience with data modelling concepts and frameworks (e.g. Kimball) and have led architectural design discussions
- You can set and communicate engineering standards — you're the person others come to for guidance on how things should be built
- You have experience diagnosing and resolving complex production issues, and you design pipelines with testing, monitoring, and maintainability in mind
- You have a system-level view of data: you think about lineage, dependencies, and how changes ripple through a platform
- You bring others along with you — through mentoring, documentation, and clear technical communication with both engineers and non-technical stakeholders
- You have experience with orchestration tooling (e.g. Databricks Workflows) and understand how data products are operationalised end-to-end
- Familiarity with data activation tools (e.g. Hightouch) or streaming platforms (e.g. Kafka) is a bonus
Why ClearScore?
ClearScore is the UK's #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions.
Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do.
Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.
If you feel like this could be the place for you, apply and our Talent team will be happy to share more.
Benefits:
- 25 paid holidays and a “duvet day” on your birthday
- Hybrid Work Environment
- Private health and dental cover - including mental health support through Bupa
- GP office visits
- Life assurance scheme
- Up to 6% matched pension
- Regular Lunch and Learns with guest speakers
- Dog-friendly office
- Daily breakfast and free snacks
- Access to discounts via Cobens Extras
- Free sports and social clubs
- Continued investment into learning and development
- Leadership-led training
- In-house psychotherapist
- Financial coach to help you plan and achieve your goals
- No clock-watching culture
- Generous maternity and paternity plans
- Culture and inclusion representatives
- Transparent pay structure and a career growth plan
Equal Opportunities
ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.
- Levels 1-5: Minimum 2 days per week in-office
- Level 6 and above: Minimum 3 days per week in-office
What This Means for You:
- Flexibility to manage your work and life
- Dedicated in-office days for team building and collaborative projects
- Office facilities (with plants!) designed for productive interactions
- Clear expectations and support for maintaining our hybrid schedule
Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations.
Inclusion Policy
We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at https://www.clearscore.com/people-notice.
Ready to apply?
Apply to ClearScore Technology Limited
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
This is a high-impact Fullstack Engineer opportunity to build and own a new internal web application that becomes the single go-to place for teams to browse computer vision models, run them on data subsets, and explore results.
You will partner directly with internal users to shape workflows and ship an MVP quickly, then iterate based on real feedback. As the first dedicated Fullstack hire in Corpus & Enrichment, you will set the standard for maintainable, scalable UI engineering that accelerates model development and data labelling workflows across the business.
Key responsibilities:
- Lead discovery with internal stakeholders to define user workflows, UX, and requirements for Enrichment Shop
- Build, ship, and iterate the Enrichment Shop product end-to-end using React/TypeScript and established backend web frameworks
- Integrate the frontend with existing systems and APIs (including Databricks-backed workflows and internal services)
- Incorporate user feedback into delivery planning and help define lightweight expectations/SLAs for an internal tool
- Build for long-term maintainability by writing clear, testable code and enabling others to contribute and support the system
About you
In order to set you up for success as a Senior Fullstack Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- Strong JavaScript and TypeScript experience, with React as the preferred frontend direction
- Proven track record delivering a full web application, ideally owning work end-to-end in production
- Experience integrating with existing backend systems and APIs, and working effectively in an established codebase
- Able to operate independently, partnering directly with internal stakeholders and building pragmatic, maintainable, testable solutions
Desirable
- Experience with established web frameworks (for example Next.js or similar)
- Some full-stack exposure, including working close to backend services (Python/Django REST exposure a plus)
- Experience building internal tools and running a tight feedback loop with users, including setting lightweight expectations/SLAs
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Ready to apply?
Apply to Wayve
Strategic AI/BI Account Executive
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SLSQ327R186
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
- London
- Munich
- Paris
Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie. You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.
Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform. If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.
The impact you will have:
- Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
- Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies
- Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
- Lead conversations around semantic governance, self-service analytics, and natural language data access
- Drive proof-of-value engagements and scale enterprise-wide adoption
- Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
- Enable field teams and serve as a subject matter expert on modern analytics architectures
What we look for:
- Enterprise sales experience in BI, analytics, data platforms, or AI/ML
- Strong understanding of modern analytics architectures and data governance
- Ability to sell to both technical and business stakeholders
- Executive presence and experience navigating complex buying cycles
- Passion for AI and the impact of GenAI on enterprise analytics
- Experience operating in a specialist or overlay sales model
- Ability to translate technical capabilities into clear business value
- Strong Enterprise Sales experience, exceeding quotas in larger accounts
- Bachelors Degree or equivalent experience
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks