We are seeking a dynamic and experienced Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.

Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.

Location: UK, Remote

About Boomi:

Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.

What you’ll do:

• Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.

• Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.

• Uncover and articulate the business value of Boomi's Enterprise Platform

• Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.

• Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.

• Understand the competitive landscape and position Boomi's solutions effectively against competitors.

• Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.

• Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer,  Data Integration and Data Governance).

The Experience you bring:

• Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.

• Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus

• Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus

• Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus

• Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus

• A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience

• Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.

• Working experience with a global system integrator is a big plus.

• Track record of successful projects in Enterprise accounts.

• Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.

• Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.

• Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies

• Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.

• Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.

• Ability to uncover customer needs and articulate the business value of solutions effectively.

• Ability to prioritize tasks and foster effective communication in global cross-functional teams.

• Ability to take ownership in highly professional teams.

• Excellent written and verbal communication skills in English.

• Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.

• A natural passion for creative problem-solving and a curiosity to understand how things work.

• Ability to switch between working independently or collaboratively for extended periods.

• Understand the importance of continuous learning while also being a coach and mentor to other team members.

If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.

#LI-LM1

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

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

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.

#LI-Onsite

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.

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.

• Engage with the partner technical community by leading workshops, seminars, and meet-ups.

• You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.

• Show expertise by producing creative technical solutions and blog posts.

What we look for:

• 8 years of customer-facing experience working with external clients or partners across a variety of industry markets

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Hands-on experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)

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.

Job Title: Senior Python Engineer

Location: Remote (UK) with Occasional Travel - Applications from non-UK countries will be rejected
Division: Inizio Medical – Data & AI Team

About Inizio Medical

Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.

About the Role

We are seeking a senior, hands-on Python Engineer to join our growing Data & AI team. This role is ideal for an engineer who enjoys building robust backend systems, APIs, and services that power modern applications at scale.

You will work on the backend foundations of next-generation applications, including systems that incorporate generative AI and LLM-based capabilities. Prior experience with generative AI is not required—we are looking first and foremost for a strong Python engineer with excellent software engineering fundamentals who is interested in applying those skills in a fast-evolving domain. 

You’ll collaborate closely with software engineers, data scientists, and product teams to design, build, and operate production-grade systems used in real-world healthcare and life sciences environments. This is not a position with current line management responsibilities. 

Key Responsibilities

• Design, build, deploy, and maintain scalable Python services and APIs using modern backend and cloud-native patterns.
• Develop clean, testable, and well-structured Python code for data-intensive and workflow-driven applications.
• Build and integrate backend components that support AI-enabled features (e.g., orchestration layers, inference services, data pipelines).
• Integrate with third-party APIs and external services, ensuring reliability, performance, and cost efficiency.
• Own production concerns including logging, monitoring, error handling, and performance optimisation.
• Contribute to CI/CD pipelines, infrastructure-as-code, and containerised deployments.
• Collaborate with product, data, and engineering stakeholders to translate requirements into high-quality technical solutions.
• Write clear technical documentation for engineers and non-technical audiences.
• Contribute to a collaborative, pragmatic, and high-quality engineering culture.

About You

• Strong professional experience as a Python engineer, building and operating production systems (e.g., SaaS platforms, backend services, data-driven applications).
• Deep knowledge of Python fundamentals, including application architecture, performance considerations, testing, and maintainability.
• Experience building backend systems using frameworks such as FastAPI, Flask, Django, or similar.
• Solid understanding of cloud-based architectures (AWS and/or Azure), containers, and microservices.
• Experience working with CI/CD pipelines, version control, and modern development workflows.
• Strong debugging and problem-solving skills in distributed or data-heavy systems.
• Comfortable collaborating in cross-functional, Agile teams and taking ownership of delivered solutions.
• Curious, pragmatic, and motivated by building reliable systems that deliver real-world impact.

Nice to Have (Not Required)

• Exposure to data platforms or analytics workflows (e.g., Databricks, Airflow).
• Familiarity with LLMs, generative AI APIs, or AI-enabled application patterns.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Sentry).
• Contributions to open-source projects or shared internal libraries.
• Experience in regulated or high-compliance domains (e.g., healthcare, life sciences, finance).

What We Offer

• Competitive salary and benefits package, including private medical insurance and company pension.
• Flexible, remote-first working environment with occasional travel.
• The opportunity to work on meaningful, high-impact products within a global healthcare organisation.
• A friendly, low-ego culture that values engineering quality, learning, and collaboration.

Ready to Apply?

If you’re a strong Python engineer who enjoys building high-quality systems and is interested in applying your skills to emerging technologies in healthcare, we’d love to hear from you.

Staff Site Reliability Engineer

As a Staff SRE at Obsidian, you will define and drive the company-wide reliability vision for a complex, multi-tenant SaaS platform serving enterprise and financial customers. You will operate as a strategic partner to DevOps and Platform Engineering leadership, shaping a unified reliability strategy that scales across the organization.

Your core mandate: ensure Obsidian detects, diagnoses, and communicates system issues before customers are impacted—consistently and predictably.

This is a hands-on technical role that involves architecting and leading the implementation of systems that handle real-world complexity, including upstream SaaS dependencies, sparse and noisy signals, and mission-critical enterprise workloads.

Key Responsibilities

• Reliability Strategy & Architecture - Define and lead long-term reliability strategy across services. Establish end-to-end system visibility frameworks and guide architecture for observability, detection, and resilience.
• Cross-Org Leadership - Partner across teams to embed reliability, standardize SLI/SLOs, and serve as a technical escalation expert.
• Detection & Observability - Build intelligent detection systems (anomaly detection, connector health models) and enable self-service observability.
• Incident Management - Define and evolve a tiered incident communication strategy, improve response practices, and lead postmortems to strengthen reliability and customer trust.
• Execution - Contribute hands-on to system design, monitoring, and debugging across distributed systems and data pipelines.

Required Qualifications

• 5+ years in SRE, Production Engineering, or related roles
• 3+ years operating at a senior or technical leadership level (Staff or equivalent scope)
• Deep expertise in:
• AWS and/or GCP
• Kubernetes and Helm
• Observability stacks (Prometheus, Grafana, or equivalent)
• CI/CD systems (GitLab CI/CD, ArgoCD, etc.)
• Proven experience designing and scaling reliability systems for multi-tenant SaaS platforms
• Strong debugging and systems thinking across distributed microservices and legacy systems
• Demonstrated ability to lead initiatives that improve incident detection, response, and system resilience
• Hands-on engineering approach with a track record of building—not just configuring—reliability systems

Preferred Qualifications

• Experience in B2B SaaS serving enterprise or financial customers
• Familiarity with third-party SaaS connector architectures and ingestion patterns
• Experience building anomaly detection or intelligent alerting systems
• Experience designing customer-facing status pages and incident communication frameworks

Why This Role

• Drive org-wide reliability strategy
• Own and build new detection & observability systems
• Tackle complex distributed systems challenges
• Safeguard critical infrastructure for financial customers

What Success Looks Like

• Issues caught and resolved before customer impact
• Reliability is measurable and continuously improving
• Teams self-serve observability with scalable tools
• Clear, proactive incident communication builds trust
• Reliability becomes a competitive advantage

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

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

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

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.

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.

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.

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.

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.

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

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 

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. 

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:

1. 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.
2. 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. 

The Role

Be at the forefront of exciting data initiatives at Addepar!

Addepar is looking for talented and ambitious junior software engineers to join our team! As a member of our team, you'll have the opportunity to work on cutting-edge projects, including our Financial Data Lakehouse, AI, and Data Governance initiatives. You'll be able to apply your skills and knowledge to help create innovative solutions and contribute to the growth and development of our platform. If you're passionate about technology and finance and are looking for a challenging and rewarding role, we'd love to hear from you!

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Help shape the future of data management in the financial world by contributing to a state-of-the-art financial lakehouse.
• Create innovative solutions that address the evolving needs of the financial industry, enabling our clients to make data-driven decisions with confidence.
• Design, develop, and deploy cutting-edge automated workflows and tools that drive operational efficiency, minimize manual errors, and deliver exceptional client experiences.
• Collaborate with cross-functional teams to integrate automated solutions with existing systems and tools, ensuring data integrity, seamless workflows, and minimal disruptions.

Who You Are 

• Hold a Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, with a strong foundation in computer systems, programming languages, and software development methodologies
• Proficient in Python programming, with a focus on automation, scripting, and data manipulation
• Strong ownership of your work and a willingness to take on new challenges
• Eager to learn and grow with our team, with a focus on automation, data science, and innovation
• Nice to have: experience with PySpark, Databricks, or other big data technologies, as well as UI frameworks such as Streamlit or Dash

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

• Own end-to-end delivery across assigned programs, workstreams, releases, and sprint commitments.

• Drive planning, execution, risk management, dependency tracking, and stakeholder communication.

• Ensure delivery predictability across scope, schedule, quality, budget, and customer expectations.

• Manage delivery governance using Agile methodology, sprint ceremonies, release planning, retrospectives, and operational reporting.

• Maintain clear traceability of requirements, user stories, acceptance criteria, UAT sign-offs, defects, and production readiness.

Customer & Stakeholder Management

• Act as the primary onsite delivery interface for customer stakeholders.

• Build trusted relationships with business, product, technology, architecture, security, infrastructure, and operations teams.

• Translate business priorities into actionable delivery plans and technical execution roadmaps.

• Proactively communicate risks, blockers, trade-offs, and mitigation plans.

• Support executive-level reporting, steering committee updates, and escalation management.

• Identify growth opportunities and partner with internal team to build solution proposals

Technical Oversight

• Provide technical leadership across cloud, data, application, integration, and DevOps workstreams.

• Work closely with architects, engineers, QA, DevOps, and data teams to validate technical design and delivery feasibility.

• Ensure alignment with enterprise architecture, security, privacy, data residency, and operational standards.

• Review technical dependencies across applications, data pipelines, APIs, environments, and CI/CD processes.

• Drive production-readiness reviews, performance validation, monitoring, and support handover.

Engineering & Agile Execution

• Lead sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.

• Manage delivery through tools such as JIRA and/or Azure DevOps.

• Ensure stories are well-defined, estimated, prioritized, and linked to business outcomes.

• Track velocity, capacity, defects, risks, dependencies, and release burn-down.

• Promote disciplined engineering practices, including code quality, peer review, automation, testing, and deployment controls.

Data, Cloud & DevOps Delivery

• Manage delivery across modern data platforms and cloud-native environments.

• Coordinate data engineering, transformation, ingestion, analytics, and reporting workstreams.

• Oversee CI/CD pipeline execution, environment readiness, deployment planning, and release validation.

• Support operational readiness through monitoring, observability, incident response, and continuous improvement.

Required Technical Experience

Strong working knowledge across modern enterprise technology delivery, including:

• Cloud & Platform: Microsoft Azure, AKS, Azure Container Apps, Azure Monitor, Azure SQL, Cosmos DB, Azure Data Lake, Fabric / OneLake.

• Data & Analytics: Databricks, Unity Catalog, Azure Data Factory, PySpark, Python, SQL, Power BI, data pipelines, transformations, reconciliation, and data quality.

• Application & Integration: .NET / .NET Core, Angular, REST APIs, microservices, authentication, authorization, and secure enterprise integration.

• DevOps & Delivery Tools: JIRA, Azure DevOps, GitHub, CI/CD pipelines, release management, environment management, automated testing, and deployment governance.

• 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

• 10+ years of experience in technology delivery, software engineering, data platforms, or cloud transformation.

• 5+ years in a delivery management, technical program management, or technical project leadership role.

• Strong experience managing enterprise customers in an onsite, high-touch delivery model.

• Proven ability to lead distributed engineering teams across onsite, nearshore, and offshore locations.

• Strong understanding of Agile delivery, sprint execution, release governance, and production deployment practices.

• Ability to challenge teams constructively on estimates, technical approach, quality, and delivery risks.

• Excellent communication skills with the ability to engage both technical teams and senior customer stakeholders.

• Strong problem-solving mindset with ability to manage ambiguity, dependencies, and escalations.

• Experience in regulated, enterprise, audit, financial services, or professional services environments is preferred.

Preferred Experience

• Experience working with large global enterprise customers.

• Prior exposure to audit, risk, compliance, financial services, or professional services platforms.

• Experience managing cloud data platform programs using Azure, Databricks, Fabric, and Power BI.

• Experience with modernization programs involving .NET, Angular, APIs, microservices, and cloud-native deployment.

• Familiarity with operational support, production readiness, observability, performance testing, and incident management.

• Experience driving value-based delivery, productivity improvement, and AI-enabled engineering adoption.

Key Success Measures

• Predictable sprint and release delivery.

• Strong customer confidence and stakeholder satisfaction.

• Clear governance across scope, backlog, UAT, defects, and release readiness.

• Improved delivery quality, reduced rework, and stronger production stability.

• Effective coordination across business, product, engineering, QA, DevOps, and operations teams.

• 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.

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 the role:

This is a Strategic role to lead our GCP and Databricks Data and AI Alliances across EMEA. dbt contributes significantly to the success of these partners and the AI enabled value their customers enjoy.

dbt’s provides the Data Infrastructure required to contextualise and unlock trust in AI. Used by over 90,000 companies every week either as Open Source ‘dbt core’ or paid for offering ‘dbt Platform’. We are one of the fastest growing pre IPO Data and AI companies. Proud to have customers such as: Astra Zenica, Sky, Unilever, Norges bank, Volvo, Bankinteer, Siemens, Toyota and many more...

Our aim is to partner with these Alliances to accelerate customer data transformations and heavily integrate into their AI roadmaps. In doing so, generate net new sourced business for dbt Labs and these partners. 

In partnering with GCP and Databricks this role will generate significant partner sourced and influenced ARR for the EMEA business. The role is set within the wider Partner Management business of EMEA, with counterparts covering other Technical Alliances and System Integrators. Both supported by our fantastic Partner Solutions Architecture and Partner Marketing teams.

Candidates must be based in the United Kingdom.

In this role, you can expect to:

• Serve as the primary point of contact for GCP and Databricks across EMEA. 
• Build the strategy and execution plan for the region delivering new pipe generation and joint capability. Ultimately maximising closed won ARR.
• Onboard new GCP and Databricks teams to the joint value proposition. Providing education on our product offerings, partnership tools, and processes. Directing teams to self-serve where necessary.
• Maintain regular communication through scalable channels with partners’ teams, their customers and the partner community within the Geography. Example hands on labs, newsletters, webinars, and email campaigns.
• Develop and maintain detailed QBR planning and a business plan that holds strong Executive followership.
• Continually drive the improvement of our overall partner program with suggestions to our head of operations and regional VP.

You’ll have an edge if you have:

• Prior experience in AI, analytics, ETL, BI, and/or open-sourced software
• Knowledge of or prior experience with dbt, GCP and or Databricks. 
• Strong Sales and or Partnership experience of building a sourcing channel.
• Entrepreneurial spirit and evidence of driving business outcomes from this.

Compensation

We offer competitive compensation packages commensurate with experience, including salary, RSUs, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.

What to expect in the interview process:

• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews with members of the Sales team + challenge presentation. 

#LI-SW1

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

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

Job responsibilities

Job qualifications

Other things to know

Responsible Use of AI in Recruitment

About Thoughtworks

#LI-Onsite

The Role 

An outstanding opportunity awaits you to lead the development of an innovative data-lake-house-as-a-service solution at Addepar. As a Product Manager, you will collaborate with our outstanding engineering teams and forward-thinking clients to successfully implement advanced analytics and data sharing capabilities. This role plays a vital part in fulfilling the ambitious requirements of financial data management and data driven decision making.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You'll Do 

• Develop and implement the product vision for a data lake house product customized to meet the needs of Addepar clients.
• Collaborate with clients to determine data engineering and analytical needs.
• Lead development of key features from requirements definition through delivery.
• Work closely with Data Engineers and Data Scientists to ensure flawless performance and scalability.
• Manage the full product development lifecycle from conceptualization to launch, focusing on continuous improvement.
• Ensure the product remains competitive by staying current with trends in data lake house technologies.
• Regularly communicate updates to collaborators and gather customer feedback.

Who You Are 

• Prior product management experience, ideally with data platforms or engineering products.
• Proficient in data lake house technology and data workflows.
• Technical skills in SQL, Python, and data engineering concepts.
• Proven track record to handle data-intensive product development and client-facing requirements.
• Excellent communication and cross-functional collaboration skills.

Preferred Skills:

• Hands-on experience with Databricks or similar data platforms.
• Familiarity with financial services platforms like Addepar.
• Preferred experience with a scrum-based agile development process.

The Role 

You’ll help Product Operations leverage AI to change how we manage information and take action. You will improve our ability to measure our impact in accelerating the building of features, products, and solutions. This will lead to better, scaled customer experiences.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Improve how a Global Organization identifies customer problems, creates, commercializes and operates AI, Data, and Software solutions. 
• Work with stakeholders to design Initiatives and Projects that you will own. 
• Design SMART goals and associated metrics.  
• Improve Product lifecycle and Software development practices.
• Work with Financial Products
• Stocks, Bonds, Mutual Funds, Alternative Investments
• Improve how we serve our Customer Segments
• Wealth Management Firms
• Enterprises / Large Banks
• Institutional Investors

Who You Are 

While it’s helpful to know Financial Services, and more specifically Wealth Management, it isn’t required. You must be willing to learn all aspects of our business, financial products, product development, and business strategy. 

You’re a problem solver with an experimentation mindset. You’ve proven an ability to learn rapidly and you have a desire to teach others. The proof could be a Graduate Degree in a technical or research discipline, having worked as a Consultant, or having a couple of years of experience as a Data Analyst or Software Engineer, working with customers or internal stakeholders using data to understand what’s happening. The important thing isn't the job title, it’s your mindset. 

Must Haves

• Analytical and Problem solving mindset
• Comfortable interacting with stakeholders to decompose abstract problems into experiments  
• SQL expertise
• Prior Software or Data Engineering experience

Nice to Haves

• Consulting Experience
• Proficiency with Ai Tools (specifically Claude), Experience using ML/Ai techniques.
• Proficiency in Python and / or Javascript.
• Experience with Data Lake platforms Databricks (preferred), Snowflake, Amazon Redshift, BigQuery or Microsoft Fabric.
• Experience with Figma, Canva, Lucid etc, or other Design Mocking or Prototyping tools.
• Computer Science, Operations Research, Economics, Statistics, or similar engineering background
• Experience in Financial Services and especially in Wealth Management

The Role

Portfolio Data Integration is part of the broader Addepar Platform team. The overall Addepar Platform provides a single source of truth “data fabric” used by the Addepar product set, including a centralized and self-describing repository (a.k.a Data Lake), a set of API-driven data services, an integration pipeline, analytics infrastructure, warehousing solutions, and operating tools. The team has responsibility for all data acquisition, conversion, cleansing, disambiguation, modeling, tooling and infrastructure related to the integration of client portfolio data.

Addepar’s core business relies on the ability to quickly and accurately ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input. Portfolio Data integrations and feeds are a highly critical cross-section of this set, allowing our users to get automatically updated and reconciled information on their latest holdings onto the platform.

As a data engineer for this team, you will execute the development of new data integrations and maintenance of existing processes in order to expand and improve our data platform. You’ll be adding automation and functionality to our distributed data pipelines by writing PySpark code and integrating it within our Databricks Data Lake. The team operates with an AI-augmented engineering workflow — LLM tools are integrated into code review, testing, and documentation as standard practice, not an experiment. As you gain more experience, you’ll contribute to increasingly challenging engineering projects within our platform with the ultimate goal of dramatically increasing the throughput of data ingestion for Addepar. This is a crucial, highly visible role within the company. Your team is a big component of growing and serving Addepar’s client base with minimal manual effort required from our clients or from our internal data operations team.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Complete individual project priorities, deadlines, and solutions.
• Build pipelines that support the ingestion, analysis, and enrichment of financial data in partnership with business data analysts
• Improve the existing pipeline to increase the throughput and accuracy of data
• Develop and maintain efficient process controls and accurate metrics to ensure quality standards and organizational expectations are met
• Partner with members of Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency
• Identify areas of automation opportunities and implement improvements
• Understand data models and schemas, and work with other engineering teams to recommend extensions and changes
• Use AI-assisted development workflows — The team uses LLM tools (Claude Code) as a standard part of the engineering workflow: pre-review, test generation, code analysis, and documentation. You'll be expected to adopt and contribute to these workflows
• Maintain and improve automated quality gates — Work with AI-powered code review tooling to enforce coding standards, catch regressions before human review, and reduce manual toil in the PR process

Who You Are

• Prior professional data engineering/analysis experience
• Experience with object-oriented programming (we use PySpark/Python)
• Knowledge of SQL or relational database concepts
• Experience in data modeling, visualization, and ETL pipelines
• Comfort working with AI/LLM tools as part of your development workflow (e.g., code assistants, automated review, AI-generated tests). You don't need to be an expert — but you should be curious and willing to adopt new tooling quickly
• Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
• Passion for the world of FinTech and solving previously intractable problems at the heart of investment management

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 

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

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:

Honesty, Reliability, Curiosity, Collaboration, and Passion.

About the role and what you'll be doing:

As a Lead Consultant at Ensono, we will expect you to be playing a leadership role and will be spending most of your time leading an agile delivery team across all aspects of the data and analytics lifecycle on an exciting project and helping that client to realise the business benefit of an investment into the cloud.

Our Technical Leads are hands-on; you will also be responsible for identifying the appropriate technologies to use for your project, designing and architecting scalable data platforms and solutions using cloud-based services for your client and influencing the success of the project.

You will work closely with senior technical people from the client, navigating through complex stakeholder relationships, and guiding architectural and technical decisions across data engineering solutions such as data lakes, large-scale ingestion pipelines and distributed processing platforms, as well as enabling advanced analytics and AI-driven solutions that help clients unlock more value from their data.

You will also support teams in designing data platforms that enable machine learning, AI and intelligent data products, ensuring the right data architecture and governance is in place to support these capabilities.

Required Experience :

You will be leading across all aspects of the data engineering lifecycle on large, complex and scalable data platforms. Such as, you’ll need to bring your skills and experience:

• Engineering Big Data patterns and solving complex data challenges
 • Designing and architecting scalable data platforms including data lakes and ingestion pipelines
 • Engineering and modelling best practices for both RDMS and NoSQL databases
 • Designing distributed data processing solutions using technologies such as Apache Spark (particularly DataBricks), Google BigQuery or similar platforms
 • Designing solutions using the most appropriate cloud-based services (AWS, Azure, GCP etc.) and cloud-native data patterns
 • Implementing large-scale data ingestion pipelines including batch, micro-batch and streaming processing approaches
 • Designing data platforms that support advanced analytics, machine learning and AI-driven solutions
 • Confidently taking on challenges and being responsible for outcomes
 • Creating a collaborative team environment where everyone’s opinion is heard, but you know when to be assertive, back down or escalate
 • Great communication skills, in particular: presenting, collaborating and partnering with stakeholders
 • Understanding the way projects affect your client’s success and adds value to their business

What we can offer you:

We will give you a place to strive and grow, where you will have the opportunity to work on interesting, yet challenging projects. Applying your thinking to build a better world founded on intelligent technologies.

We are a people-first business, which means people are at the heart of everything we do here. We offer our consultants a safe environment where knowledge sharing, and open communication is encouraged. Whether at one of the internal monthly events, such as Lunch & Learns, Tech Time, and internal competency meet-ups, or at one of our community groups, such as football, gaming, yoga, or wellbeing; we have strived to build a business where everyone feels welcomed, included, and valued.

At Ensono, our purpose is to be a relentless ally, disrupting the status quo and enabling our clients to Do Great Things. As a trusted technology adviser and managed services provider, we help clients navigate continuous change and embrace innovation. 

We deliver world-class hybrid cloud, infrastructure, mainframe transformation, data, IDAM, and cloud-native solutions, simplifying complex business challenges and creating new pathways to success. Headquartered in the USA and backed by private equity, Ensono has a strong and growing presence in the UK and Europe.

What is the role about

This is a hands-on technical role within our Data & AI competency. You will join a cross-functional team of highly skilled, like-minded professionals, helping build and deliver modern data solutions for our clients – enabling them to realise the business value of their cloud investments. 

As a Data Engineering Consultant, you will design, build, and maintain data pipelines and lakehouse architectures that power analytics, AI/ML, and operational decision-making. You will work across ingestion, transformation, storage, and serving layers – delivering solutions that are scalable, reliable, and cost-efficient. 

What You’ll Deliver 

• Cleaned, validated datasets and production-ready data pipeline code
• Contributions to requirements documents, data inventories, and technical specifications
• Data quality checks and monitoring dashboards for pipeline health
• Documentation supporting data governance, lineage, and cataloguing

 What You’ll Be Doing: 

• Building and maintaining data ingestion pipelines (batch, streaming, and micro-batch) using modern cloud-native tools and frameworks
• Developing and optimising transformations within lakehouse and medallion architecture patterns (bronze, silver, gold layers)
• Working with cloud data platforms such as Databricks, Apache Spark, and cloud-native services on AWS and/or Azure/Microsoft
• Implementing data quality checks, validation rules, and automated testing to ensure pipeline reliability
• Supporting data governance and compliance activities, including cataloguing, lineage tracking, and access control
• Collaborating with analysts, data scientists, and business stakeholders to understand requirements and deliver fit-for-purpose data products
• Contributing to technical documentation, architecture decision records, and runbooks
• Participating in code reviews, pair programming, and knowledge-sharing sessions to raise team capability 

What you’ll Bring: 

• Strong development skills in Python and SQL; experience writing clean, testable, well-documented code
• Hands-on experience building data pipelines and ETL/ELT workflows using tools such as Apache Spark, Databricks, or equivalent
• Understanding of lakehouse and data warehouse architecture patterns, including star schemas, medallion architecture, and data modelling best practices
• Experience working with cloud platforms (AWS, Azure, or GCP), including cloud storage, compute, and managed data services
• Familiarity with common big data file formats (e.g. Parquet, Delta, Avro) and concepts such as partitioning, compression, and columnar storage
• Good understanding of software engineering best practices: version control (Git), CI/CD, code review, SOLID principles, and DRY
• Clear communication skills – able to explain technical concepts to non-technical audiences and collaborate effectively across disciplines
• A proactive, self-starting attitude with a genuine interest in understanding the business context behind the data 

  Desirable Skills & Experience 

• Experience with Databricks (Delta Live Tables, Unity Catalog, Workflows) or similar lakehouse platforms
• Familiarity with Infrastructure as Code tools (e.g. Terraform, CloudFormation) and container technologies (Docker, Kubernetes)
• Exposure to data governance, cataloguing, or data quality frameworks
• Experience with TDD/BDD testing practices for data pipelines
• Knowledge of streaming technologies (e.g. Kafka, Kinesis, Spark Structured Streaming)
• Additional programming experience in Scala or Java
• Relevant cloud or data certifications (e.g. Databricks Data Engineer, AWS Data Analytics, Azure Data Engineer) 

Personal & Leadership Qualities 

At Ensono Digital, we place as much value on how you work as on what you deliver. The following qualities reflect our expectations for Consultants and are aligned with our Personal and Leadership Frameworks: 

• Coachable and curious: You actively seek feedback, learn from experienced colleagues, and reflect on how to improve.
• Team-oriented: You contribute positively to team culture, support new joiners, and collaborate openly – building trust through reliability and approachability.
• Ownership mindset: You take responsibility for your work, communicate blockers early, and deliver to the quality and timelines expected.
• Adaptable learner: You embrace new tools, methods, and feedback. You take initiative in your own development and are energised by the pace of change in cloud and data.
• Business-aware: You seek to understand the “why” behind your work – connecting your technical delivery to client goals and business value.
• Clear communicator: You express ideas clearly in writing and conversation, listen actively, and ask good questions to build shared understanding. 

Team Description

The Data Engineering team is responsible for developing and maintaining the company’s data ingestion and processing pipelines. This role collaborates with data scientists, software engineers, business analysts, and technical leads to build reliable data infrastructure that supports decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering function.

Your Impact

• Contribute to the development and enhancement of data ingestion and processing pipelines
• Partner with product managers, data scientists, and engineers to build and maintain accurate and robust data infrastructure managing first- and second-party data
• Collaborate with technical leads and senior engineers on data architecture decisions and implementation strategies
• Support the team in delivering scalable solutions while learning and growing your expertise
• Work as part of a collaborative team that values creativity and continuous improvement
• Help build and maintain data pipelines that support AI and decision-making tools

Your Qualifications

• Commercial & proven experience in data engineering or related technical roles
• Proficiency in SQL and Python for data processing and pipeline development
• Experience with data warehousing concepts and ETL/ELT processes
• Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift
• Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT
• Experience working with columnar formats like Parquet and Avro
• Understanding of data modeling, database optimization, and performance tuning
• Experience integrating data from various sources including APIs, FTP, and cloud storage

Preferred Skills

• Knowledge of streaming data processing and data APIs
• Knowledge of cloud platforms, particularly AWS
• Familiarity with infrastructure as code and CI/CD practices
• Experience with time series data

The Role

Alts Data Operations is a newly launched Addepar team that focuses on Alternatives Investment Data.  The team collects and validates information on private funds, private companies and other non-public investments.  This data is used for our research projects on investment decision-making and deliver new research products on topics related to investing (e.g., briefs, working papers, journal articles, models). The R&I mission is to inform wealth managers and institutional investors on new ways to improve their investment performance, by helping them augment their governance, management, operations, and processes. The goal is to apply Addepar’s proprietary and private data (both quantitative and qualitative) to bring new and powerful insights to the world of investors. 

We are currently seeking an Alternatives Data Operations Analyst to join our growing presence in Edinburgh. This role will be dedicated to capturing and updating Alternatives data to power new innovations developed using a proprietary research platform. The platform aggregates over $7 Trillion in assets into an analytical data store that can be analyzed for new insights by researchers at Addepar and other prominent research institutions (e.g. London School of Economics, Dept. of Finance). The role is responsible for ensuring the platform has timely and high-quality data available. This will include oversight of the alternatives security master, data quality validations management, and workflow oversight. 

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You Will Do

• Oversee and manage operational workflows for Alternative data processing.
• Develop and maintain effective process controls and accurate metrics to ensure quality standards.
• Partner with members of the Research team to implement and run data quality validations.
• Oversee the security master and security classification processes 

Who You Are

• Prior experience in the financial industry, securities modeling, post-trade processing or trade-surveillance systems. Knowledge of alternatives is a big plus. 
• Detailed in documenting and exhibits good follow-through techniques. 
• Track record of effective problem-solving abilities, self-motivation to take on responsibility, and a strong team-player mentality.
• Outstanding communication and interpersonal skills for working with clients, custodial data providers, as well as internal working partners.
• Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark, etc.), Databricks, Bloomberg, Pitchbook, or other common financial services systems and applications.

The Role

We are currently seeking a Software Engineer to join our Framework Integration and Tooling Team! In this role, you will have the opportunity to use the latest technology stacks to build the next generation of global, scalable, portfolio data ingestion. It is the core backbone for portfolio analytics, insights, and reporting that the entire Addepar platform depends on. We want people who are passionate and care deeply about the success of the whole company. We are looking for driven engineers with real technical depth and a desire to understand the end business. 

Engineering is at the core of Addepar and we are looking to add the best, brightest, and most passionate software engineers to our team. If you are excited about doing the best work of your career and you enjoy the rush of shipping high quality code to production every day we’re excited to meet you! Our software engineers come from a variety of backgrounds, ranging from Silicon Valley entrepreneurs to finance tech veterans. What they have in common is tremendous talent and dedication to architecting, implementing, and shipping high quality software.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Build the framework and tooling for ingesting complex financial data from hundreds of global data providers.
• Implement engineering solutions to solve complex problems; write well-designed, well-tested code.
• Contribute to architecture designs, product roadmap, and code reviews.
• Collaborate effectively with other engineers, product managers and stakeholders, in line with our company values outlined

Who You Are

• Degree in Computer Science or a related field, or equivalent practical experience in the industry.
• Prior experience as a Software Engineer in a professional environment.
• Familiarity with some of the technologies we use: 
• HTTP, REST and web API best practices. 
• Java, Python, AWS, Spark, Databricks
• Able to work from the Edinburgh office for a minimum of 2 days per week.
• Ability to write high-quality, object-oriented code.
• Excellent written and verbal communication skills.
• Demonstrable knowledge of development best practices and experience working in an agile team.
• Ability to explore complex problem spaces objectively from multiple points of view.
• Ability to learn new things quickly.
• [Bonus] Linux proficiency, basic shell scripting and a solid grasp of systems level programming.
• [Bonus[ Specific experience in or knowledge of financial data systems.

The Role

As a Technical Solution Architect you will play a crucial role in helping our clients build custom integrations using Addepar's suite of APIs and the Addepar Data Exchange. Additionally, you will have the opportunity to develop innovative internal tools to address client challenges, expedite implementations and unblock internal and external stakeholders. The ideal candidate will possess an eagerness to solve technical problems, experience in the wealth management domain, exceptional communication skills, thrive in a fast paced environment, and will bring a solutions oriented approach to all challenges they encounter.

What You’ll Do

• Collaborate with clients to design and build custom integrations leveraging  APIs, the Addepar Data Exchange and other technical tools
• Work closely with Product and Engineering to shape the development of new technical solutions
• Pioneer the technical implementation of the Addepar Data Exchange and establish and contribute to best practices for the team
• Prioritize and context-switch effectively to lead simultaneous projects, seeing each through to the finish line
• Stay up-to-date with industry trends and emerging technologies to find opportunities for innovation and improvement

Who You Are 

• Minimum 3+ years experience working in technology, finance, or consulting
• Experience with designing and implementing custom integrations
• Intermediate or advanced proficiency in Python, SQL and Rest APIs
• Hands-on experience with Databricks or similar data platforms
• Solution-oriented mentality and passion for problem solving
• Excellent verbal and written skills with the ability to present complex information in a clear and concise manner
• Strong work ethic, proactive and a high contributing teammate
• Independent, adaptable and can thrive in a fast-paced environment

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

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.

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.

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.

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

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

• 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

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.   

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 

SLSQ327R227

Location: London (relocation to Dubai expected early 2027)

Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks.

Reporting to the UAE Country Manager, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of UAE organisations. We’re looking for a proven Enterprise Account Executive to join our team in London (relocation to Dubai expected early 2027) to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers.

The impact you will have:

• Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles
• Use a solution-led approach to create meaningful value for new logo accounts
• Identify and close quick wins while managing longer, complex sales cycles
• Own a defined list of prospects in UAE and build strategies targeting all critical stakeholders
• Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement
• Build strong value throughout the sales process to guide successful negotiation
• Orchestrate cross-functional teams to maximise impact across your ecosystem
• Own the consumption narrative, using demand plans to surface high-value use cases in each account
• Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform
  
  

What we look for:

• Strong new business development background with a track record of closing and exceeding quota in consumption based business (SaaS, PaaS, IaaS).
• Experience navigating procurement frameworks and mechanisms
• Background in Cloud software, open source technology, or the Data and AI space
• Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud
• Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation
• Methods for co-developing business cases and securing C-level sponsorship
  Experience building strong champions, collaborative teams and productive partnerships
• Understanding of consumption-based land-and-expand sales models
  Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting
• Demonstrated contributions and a consistent track record of success
• Based in  London (relocation to Dubai expected early 2027) with availability for travel.
• Demonstrable experience working with integration partners 
• Fluent English, knowledge of Arabic is a plus.

Job Title: Retail and Consumer Goods EMEA Leader

Req ID: SLSQ127R516

This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for EMEA Retail & Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You'll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity.

Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail & Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how EMEA's largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences.

You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets.

The impact you will have:

• A Scalable EMEA Growth Engine Design and execute a go-to-market strategy that doesn't yet exist in its final form. You'll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale.
• Programmatic Opportunity Capture Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won't pursue targets one at a time; you'll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously.
• A Partner Ecosystem from First Principles Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn't about managing existing relationships—it's about seeing what partnerships should exist and making them real.
• Data-Driven Operational Excellence Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time.
• Sales Plays That Travel Create comprehensive, scalable sales initiatives tailored to EMEA's diverse geographies while contributing frameworks that support Americas and APJ. You'll work cross-functionally to ensure these plays move from concept to revenue.
• Industry Thought Leadership Establish Databricks as the authoritative voice in Retail & Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI.
• Cross-Functional Influence Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit.
• Market-Defining Content Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers.
• Sales Team Acceleration Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions.

What we look for:

• An Industry Insider with Builder DNA You've held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry's challenges from the inside—but you're energized by building something new rather than optimizing what exists.
• Entrepreneurial by Nature You've operated in environments where the path wasn't paved. You're comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work.
• A GTM Architect You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value.
• An Executive Relationship Builder You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value.
• A Transformation Leader You've led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations.
• Technically Fluent You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry.
• Regulatory Aware You understand the European regulatory environment—GDPR, Greenhouse Gas Compliance, food waste, sustainability reporting—and can navigate these considerations in strategic conversations.
• A Program Operator You've managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones.
• A Force Multiplier You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail & Consumer Goods customers.

Multilingual Fluent in English with strong proficiency in French or German.

The role 

The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.

The System Performance team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet. We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices. Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale. We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence.

Key responsibilities:

• Investigate latency and performance bottlenecks across the entire software stack
• Instrument code with profiling tools and metrics to collect performance data and identify optimization opportunities
• Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines
• Collaborate with multiple teams to understand their performance pain points and prioritize optimization efforts based on impact
• Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance

About you  

In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++.  Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization
• Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks
• Proven track record of methodical experiment evaluation
• Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, …), and thread synchronisation

Desirable 

• Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat
• Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog
• Familiarity with QNX and Momentics is a plus

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.   We operate core working hours so you can determine the schedule that works best for you and your team.