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 a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

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.

About Hightouch

Hightouch is the leading AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the rapid adoption of cloud data warehouses like Snowflake and Databricks. We pioneered the Composable Customer Data Platform (CDP) and have since expanded into AI Decisioning — allowing marketers to set goals and guardrails that AI agents use to personalize 1:1 customer interactions at scale.

We've become a recognized leader in the space: we recently surpassed $100M in ARR, were named a Leader in the Gartner Magic Quadrant, and raised our Series D — a testament to the momentum we're building and the trust our customers place in us. Over 1,000 companies, including Domino's, Spotify, Chime, Ramp, Whoop, Grammarly, and PetSmart, rely on Hightouch to power their growth.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

We're based in San Francisco with team members around the world, and backed by leading investors including Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

What We're Looking For

• Someone with at least 3+ years of Mid-Market or Enterprise sales experience 
• Experience with complex sales cycles into businesses over 2000 employees in EMEA
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition and humility. 
• Strong pipeline discipline in a land and expand motion 
• Experience closing deals $50k ARR upwards 
• Ability to adapt to an ever-changing work environment
• Thorough understanding of the technology industry and its players
• Experience in the Martech and/or Data space

About The Role

Have you got a knack for explaining technical concepts? Do you want to work closely with big-name companies to solve some of their toughest problems? We’re looking for a Solutions Engineer who loves teaching people, solving problems, and wants to be a major factor in adding to the list of our biggest customers. You’d be joining a team of talented solutions engineers that love going deep into customer’s problems, finding ways to innovate in the ways customers use data, and making life easier for people. We care deeply about our users and partners, and we judge ourselves on how well we serve them. 

We partner with our Account Executives by removing technical and business-related obstacles in front of a sale, advocating for customer interests to relevant internal teams, and creating compelling technical content.  We get excited talking to data engineers, product managers, marketers, and also know how to distill technical concepts to our buyers. We’re here to make our customers’ lives easier by providing them with the right solutions for their challenges in customer data strategy and architecture.

Solutions Engingeers at Hightouch frequently work with both technical and non-technical stakeholders to understand their problems and craft creative technical solutions with them. We’re open to candidates with a variety of backgrounds.

What We're Looking For

• 4+ years sales experience 
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition and humility
• Experience selling Martech and/or Data Solutions
• Experience with the following: Cloud Warehouses, Data Engineering, Data Analytics, and Data Modeling, and API's
• This role requires professional proficiency in French, including both written and verbal communication

Bonus If You Have

• Experience with Customer Data Platforms

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. When evaluating compensation we focus on impact and potential for growth more than years of experience. Additionally, we offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About Hightouch

Hightouch’s mission is to empower everyone to take action on their data.  We’ve pioneered the Composable Customer Data Platform (CDP), which helps companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and busisness operations. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.

Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

Hundreds of companies use Hightouch, including Spotify, Ramp, Grammarly, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About The Role

Hightouch is looking for an Enterprise Account Executive (EAE) to join our rapidly growing team. We’re a small team and looking for someone with at least 4 years of Sales experience. We are looking for a self-starter with a passion for technology and people.

The right candidate is someone who has a proven track record of success who is looking to further their career with a fast growing startup. The ideal person will be both coachable, have a strong work ethic and entrepreneurial spirit. 

What We're Looking For

• 4+ years experience in complex enterprise SaaS sales
• Experience building pipeline through outbound and land and expand in the DACH region
• Must have fluent German language skills
• Must be based outside of Germany, in EMEA. 
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition and humility.
• Excellent verbal and written communication skills.
• Ability to adapt to an ever-changing work environment
• Be a self-starter

Bonus if you have 

• Background in Martech and/or Data 

About The Role

Hightouch is looking for an Enterprise Account Executive to join our Southern Europe team as our first person on the ground in the Middle East. As part of our small but growing EMEA team, you'll play a key role in expanding our presence across the region. We're a small, high-impact team looking for someone with at least 4 years of enterprise sales experience who thrives in fast-paced, high-growth environments.

The right candidate is someone with a proven track record of closing complex deals who's excited to build their career with a fast-growing startup. You're coachable, bring a strong work ethic and entrepreneurial mindset, and are energized by the opportunity to shape our go-to-market strategy in MENA.

What We're Looking For

• 4+ years of enterprise sales experience in martech and/or data infrastructure
• Proven success in building a pipeline through strategic outbound and land-and-expand motions
• Experience selling to marketing and data personas 
• Experience navigating complex, multi-stakeholder enterprise deals
• Strong discovery skills and ability to build executive-level relationships
• Intellectual curiosity, high ambition, and humility
• Excellent verbal and written communication skills in English & Arabic 
• Ability to thrive in ambiguity and adapt to an ever-changing environment
• Self-starter mentality with the ability to work autonomously while collaborating across regions

Bonus If You Have

• Experience selling in Southern European markets
• Familiarity with the modern data stack (CDPs, data warehouses, reverse ETL)
• Track record of consistently exceeding quota in a high-growth startup environment

About The Role 

As a Technical Account Manager in our EMEA region, you will become the bridge between Hightouch and our largest Fortune 5000 customers. You will oversee the entire customer journey starting from kick-off to onboarding to continued customer success and finally, increased adoption. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Hightouch platform to its fullest extent and beyond.

In this role, you strive to understand customer requirements and issues at the molecular level. No matter your background, you have a natural curiosity to uncover a customer’s use case and help navigate to the most elegant and efficient solution. Fundamentally, you are enamored with how a company can utilize data to its fullest extent. Utilizing this curiosity and knowledge, your goal is to guide the customer into their ideal future state as well as guide the innovation of the Hightouch platform as well.

What You’ll Do

• As a critical member of the Customer Success team you will be responsible for the retention and expansion our largest Enterprise customers
• You will be part of a team that will work closely with Sales to strategize on how to increase the adoption of Hightouch within large organizations
• From a technical perspective, your primary responsibilities will be to deliver a timely and organized onboarding for customers through effective project management, ensure customers see the full value in Hightouch’s products, and advise on technical best practices
• Provide customers with clear proactive technical guidance and expertise across all our products
• Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations
• Contribute towards the success of the Hightouch platform by surfacing use cases and problems to Engineering that push our product to the next level

What We're Looking For

• 5-10 years of experience in a client facing and / or technology focused role where business experience and technical acumen was combined
• Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy
• Excellent project management and communication skills
• Proven ability to quickly learn new technologies and understand complex systems (APIs, databases, reporting tools, etc.)
• Strong troubleshooting and problem solving skills with a continuous desire to improve your technical acumen
• Ability to collaborate cross functionally with different teams and types of people
• Ability to work under pressure, deadlines and navigate unexpected roadblocks with ease
• Proficiency of spoken and written English

What You'll Do

The ideal candidate is hungry to learn, excited to cross-functionally collaborate, driven to deliver optimal customer experiences, and is excited to learn from and teach others. Hightouch is still a startup, which translates to pitching in across the organization and wearing many hats as we grow. You will be excited for an opportunity that allows you to be an important member of an exceptional company, be willing to ask questions when you’re unsure, and take initiative when you’re passionate about a topic/solution/process.

Finally, you’ll need to be a self-starter, comfortable with ambiguity, willing to challenge the status quo, and a strong team player. Everyone at Hightouch plays an important role in our growth and this position is at the forefront of our efforts to drive an exceptional for every user. We’re of the firm belief that keeping customers promises is how we’ll win and we’re excited for this role to play an integral part of the customer journey.

What We're Looking For

• 2+ years in a customer-facing role
• Technical background either through experience or education
• Conversant in SQL or willing to learn the basics and a few more advanced topics
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition, and humility
• High proficiency in reading, writing, and speaking English
• Ability to adapt to an ever-changing work environment
• Thorough understanding of the technology industry and its players

About The Role 

As an Implementation Manager, you will be the force behind successful implementations at Hightouch. Working in close partnership with Technical Architects, you will own the full implementation and enablement lifecycle for Hightouch’s Mid-Market and Enterprise customers. You will be primarily responsible for executing the technical aspects of customer onboarding, ensuring seamless integration of Hightouch into customers' existing data infrastructure and working alongside the Technical Architect who owns the overall customer journey.

In this role, you will be the product expert who translates complex customer requirements into actionable implementation plans. You should have a natural ability to communicate technical concepts clearly to both data engineering teams and business stakeholders. As the primary owner of the implementation lifecycle, your focus is on creating repeatable, efficient implementation processes that scale across our customer base while maintaining the flexibility to address unique enterprise needs.

What You’ll Do

• Drive the onboarding process for customers, working closely with Technical Architects to ensure alignment between technical execution and customer success objectives
• Design and optimize implementation frameworks that can scale across different customer segments while accommodating enterprise-specific requirements
• Lead technical discovery sessions and implementation workshops, collaborating with customer data engineering teams and business stakeholders
• Create and maintain detailed technical documentation for implementations, including integration specifications, data models, and best practices
• Develop and execute implementation plans that minimize time-to-value while ensuring robust, sustainable solutions
• Partner with Technical Architects to identify and resolve technical blockers that could impact customer success
• Build relationships with technical stakeholders within customer organizations
• Contribute to product development by providing feedback to our engineering team
• Standardize and automate implementation processes to increase team efficiency and customer satisfaction

What We're Looking For

• 5-10 years of experience in technical implementation, solutions architecture, or similar roles with enterprise software
• Strong technical background with hands-on experience in data integration, APIs, and enterprise architecture
• Proven track record of successfully managing complex technical implementations while maintaining clear communication with a variety of stakeholders
• Experience creating and optimizing implementation processes that can scale across an organization
• Excellence in technical project management with ability to manage multiple concurrent implementations
• Strong presentation and facilitation skills with ability to command a room of technical and business audiences
• Experience working with data warehouses, ETL processes, and marketing technology is a plus
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

#LI-DNI

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

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

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.

Job Description

As a Network Operations Manager, you will be a key pillar, focused on ensuring strong alignment with global card scheme requirements and supporting the continuous improvement of our payment operations. This role is designed for a subject matter expert who can navigate the sophisticated landscape of Visa and Mastercard regulations to support our merchants' international growth.

You will be instrumental in maintaining the integrity of our payment ecosystem. Your focus will be on refining our internal compliance frameworks and ensuring that our operational processes evolve in lockstep with scheme mandates. This is a high-impact role that combines technical rulebook mastery with strategic risk management, ensuring Mangopay remains a gold-standard partner for complex platforms.

Roles & Responsibilities:

Ecosystem Health & Scheme Alignment

• Program Optimization: Provide senior oversight for established scheme programs including established Visa and Mastercard monitoring and compliance programs, ensuring ongoing alignment with global standards.
• Strategic Remediation: Coordinate with cross-functional teams to coordinate internal remediation activities in response to scheme requirements, ensuring that portfolio health remains within scheme-defined performance buffers.
• Regulatory Intelligence: Maintain a comprehensive roadmap of scheme bulletins and mandates. Act as the internal partner and advisor for Legal and Product teams to ensure Mangopay’s infrastructure supports the latest industry requirements.

Advanced Dispute & Portfolio Advisory

• Dispute Framework Management: Oversee the technical application of VCR and Mastercard dispute rules, identifying opportunities to improve representation success rates across the network, support internal teams in improving dispute handling and representingment quality.
• Merchant Success Coaching: Provide high-level guidance on representment evidence and dispute mitigation for our most complex merchant partners.
• Risk Trend Analysis: Monitor and report on Monitor and report on key scheme performance metrics, identifying emerging trends and implementing proactive strategies to maintain excellence in portfolio performance.

Operational Excellence & Reporting

• Scheme Correspondence: Draft and manage formal communications with card schemes, ensuring all responses and submissions reflect Mangopay’s commitment to network integrity.
• Internal Capability Building: Act as a mentor and SME for Underwriting and Risk teams, ensuring that scheme compliance "by design" is embedded in our merchant lifecycle.
• Policy / Procedure Alignment: Interpret scheme rule changes and translate them into revised internal  policies and procedures
• Audit Governance: Manage internal records and audit trails for all scheme-related submissions, ensuring Mangopay is always prepared for external reviews or scheme assessments.

Experience

You are recognised for:

• 5+ years of experience in payment operations, scheme compliance, and/or network management within a high-growth Fintech, Acquirer, or major Scheme.
• In-depth Rulebook Knowledge: A proven track record of interpreting and applying Visa and Mastercard rules in a commercial environment.
• Analytical Sophistication: Ability to use data to tell a story and drive operational change. Proficiency in SQL and Snowflake is highly advantageous.
• Communication Mastery: Exceptional drafting skills for formal compliance correspondence and the ability to simplify complex regulations for non-technical stakeholders.
• Strategic Mindset: Experience managing high-stakes compliance programs and navigating the balance between commercial growth and risk mitigation.

Additional Information

• Stage 1: HR Talent Team interview
• Stage 2: Technical Interviews with Subject Matter Experts (Deep dive into Scheme Rules)
• Stage 3: Case study / practical assessment (Strategic compliance scenario)

THE ROLE

As a Senior Data Analyst in NextEnergy Group’s Data & AI team you will lead geospatial analytics projects, mentor junior analysts and deliver high-impact insights across climate, nature and social themes. You will partner with the Environmental Social Governance (ESG) Team and wider business stakeholders; design and maintain robust spatial datasets; develop and manage web based GIS applications; and apply spatial analysis to support due diligence across UK and international investment portfolios. Through the establishment of standardised geospatial processes, auditable data workflows and high quality visualisations, you will strengthen the organisation’s evidence base for ESG reporting and decision making. By delivering actionable insights to stakeholders you will be supporting the company’s digital transformation and sustainability goals.

This role is central to our strategy to become a data-driven, technology-led and AI-infused enterprise.

KEY RESPONSIBILITIES

• Analytics & Insight Generation: Lead spatial and environmental analysis across ESG topics, integrating survey, CAD, consultant and public datasets to identify constraints, risks and opportunities, and translating complex geospatial data into clear, actionable insight for senior stakeholders.
• Reporting & Visualisation: Design, build and maintain dashboards, web applications and high‑quality cartographic outputs (ArcGIS Online, ESRI), ensuring spatial data is visualised clearly, accurately and in line with best‑practice data storytelling for both operational and strategic reporting.
• Mentorship & Best Practice: Champion geospatial data quality, governance and continuous improvement by managing spatial databases, standardising workflows, documenting processes and mentoring junior analysts, fostering a culture of technical excellence, knowledge sharing and continuous learning
• Data Collection & Management: Working with Data Engineering & Data Governance when relevant, own and actively manage spatial and ESG‑related datasets for analysis, ensuring data quality, integrity and compliance with GDPR and other regulation
• Process Automation: Identify opportunities to automate & transform analytics & reporting processes to improve efficiency & scalability
• Collaboration: Work closely with business stakeholders across the group to understand requirements, deliver solutions and support cross-functional projects
• Documentation & Knowledge Sharing: Consistently document geospatial methodologies, analytical workflows and outputs, producing clear guidance and process documentation to support transparency, reproducibility and effective knowledge sharing across the wider team.
• Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements.
• Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively suggest enhancements to processes & tools/

SKILLS & COMPETENCIES

To be successful in this role, you will demonstrate:

• Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake)
• Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner
• Analytical & Problem Solving: Ability to interpret complex data and generate actionable insights. Strong attention to detail and commitment to data quality
• Business Acumen: Understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG & GIS
• Leadership & Collaboration: Proven ability to mentor junior analysts and lead cross-functional projects
• Time management & prioritization skills- things can get a little hectic, so the ability to effectively manage yourself and your workload is critical
• Excellent communication skills in English (additional European languages are a bonus) - you must be able to organize your thoughts in a way that others find clear and compelling. Translating & presenting complex technical concepts to non-technical stakeholders. You will be expected to together well-written, grammatically correct emails and other communications. When communicating verbally
• Flexibility- being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description.
• Intellectual Curiosity – we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team.
• Delivery focus – it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs matters
• Passion for our mission ‘to generate a more sustainable future by leading the transition to clean energy
• Our values: be a leader, build trust, be responsible, be innovative and ‘bring your alpha’.

EXPERIENCE & QUALIFICATIONS 

• Bachelor’s or Masters degree in Geography, Geographical Information Systems (GIS) or relevant environmental or technical field or alternative relevant educational achievements (e.g. apprenticeships, arts degrees + work experience)
• 4-6 years of experience in data analytics or a similar role
• Dashboard design (PowerBI & Thoughtspot), remote sensing and image processing skills in context of environmental applications and assessment desirable. 
• Experience in geospatial data management and data engineering.
• Experience with ESRI products, including ArcGIS Pro, AGOL Web Maps, Application, Dashboards, Story Boards.
• Familiarity with CAD based software (e.g. AutoCAD), Web-based GIS technologies, coding (Python, R) as well as other desktop GIS software (e.g. FME, QGIS). 
• Experience in renewables/environmental/social assessments and across development, construction and operation stages.
• The right to work in the UK or Italy

WHAT WE OFFER

• A busy role in a supportive team, with plenty of opportunities to learn
• International scope – we operate in over 8 countries
• Hybrid working 
• Competitive base salary and annual discretionary bonus.

HOW TO APPLY

If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergygroup.com. If you have been shortlisted for the next stage, we will be in contact within 14 days. 

By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice.

DIVERSITY AND INCLUSION

Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be.

We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity.

ABOUT US

NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector.  Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.  NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). 

NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds.

• NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m.
• NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target.
• NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target.
• NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised.
• NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling).

WiseEnergy® is NextEnergy Group’s operating asset manager.  WiseEnergy is a leading specialist operating asset manager in the solar sector.  Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW.  WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector.  

Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects.  It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies. 

NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more. 

NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.

Manager, FP&A – EMEA 

Battersea, London / Hybrid (3 days per week in office) 

About the Role 

Reporting into the FP&A Senior Manager, EMEA, the FP&A Manager, EMEA is a high-impact role at the heart of SharkNinja's EMEA finance function. You will be a key driver of financial performance and insight across the region - owning core FP&A deliverables, driving the EMEA Data/BI FP&A transformation agenda, and acting as the primary link to the Global BI/IT Teams. 

This role is for someone who combines deep technical FP&A expertise with a passion for data, tools, and continuous improvement. You won't just report the numbers — you'll own the infrastructure behind them, drive simplification, and help build a best-in-class FP&A function that scales with one of the fastest-growing consumer businesses in the world. 

FP&A Core Deliverables 

• Lead and animate the EMEA month-end close cycle, delivering high-quality variance analysis, management commentary, and P&L performance reporting to the EMEA Finance Leadership Team (FLT), with support from the Senior Analyst. 

• Establish and maintain clear forums with the Accounting team to review the balance sheet and support quarterly and year-end closing. 

• Support ad hoc financial analysis and business case support for EMEA-wide initiatives 

• Champion simplification across FP&A processes (month end & forecast), leveraging AI tools, analytics, and structured ways of working to reduce manual effort and increase impact. 

• Drive the animation of financial performance across the EMEA business, using BI tools and automation to bring data to life. 

• Own the maintenance of FP&A master data, including region, customer, category, and product hierarchies — ensuring accuracy, consistency, and integrity across all financial reporting. 

• Serve as the primary point of contact between EMEA Finance and the Global BI & IT team, ensuring alignment on tools, reporting priorities, and the rollout of global innovations into the EMEA environment. 

• Lead the local execution of global and regional data transformation projects — including PowerBI dashboard development, P&L fundamentals alignment (e.g. gross-to-net, Oracle SKU-level data, legacy BI migration)  

• Drive a culture of documentation, process excellence, and continuous improvement within the EMEA FP&A team. 

• Act as a champion for financial data governance and best practice, embedding robust controls and scalable processes as the business continues to grow at pace. 

• Line Management of one qualified Senior Analyst 

Some of what we're looking for 

• 5 years + experience in an FP&A role within a global organization, with strong exposure to month-end close, forecasting, and budgeting cycles. 

• Demonstrated commercial acumen with experience translating financial performance into narrative that drives decision-making. 

• Expert-level Excel skills and financial modelling capability 

• Deep hands-on expertise in PowerBI and Snowflake, including dashboard development, data modelling, and self-service BI. 

• High attention to detail and commitment to data accuracy, consistency, and integrity across all financial reporting. 

• Ability to work in a fast-paced environment, managing multiple priorities with a high degree of organization and dependability. 

• Excellent communication and interpersonal skills, with confidence presenting to and engaging cross-functional stakeholders across geographies & levels. 

• Experience leading or contributing to finance or data transformation projects; project management capability is a plus and will be developed in role. 

• Bachelor's degree in Finance, Accounting, Business, or related field; with professional qualification (ACA, ACCA, CIMA or equivalent required). 

• Line management experience preferred but not essential 

 #LI-HYBRID 

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

Job Description

The PM - Payment Network is a technical role within the Product team dedicated to maximizing the health and efficiency of Mangopay’s payment processing network. As our payments volume grows, this role ensures that our technical performance matches our innovative product suite.
You will also work closely with our payments partners to ensure all Mangopay clients are compliant with card processing standards.

Roles & Responsibilities:

Authorization & Performance Excellence

• KPI Management: Own the optimization of authorization rates, fraud-to-sales, and chargeback performance through advanced data monitoring and performance tuning.
• Issuer and payment partner Liaison: Manage relationships with key ecosystem participants and issuers to troubleshoot authorization bottlenecks and improve global acceptance rates.
• Deep-Dive Analytics: Utilize internal data tools to identify systemic improvements in the payment path, reducing friction for merchants and cardholders.

Technical Data Integrity & Mandates

• Data Stewardship: Oversee processes ensuring that clearing and settlement data across our network meets the highest levels of accuracy and scheme compliance.
• Technical Execution: Lead the technical implementation of specific card processing needs for 3DS, tokenization, and authorization messaging, partnering with Product teams to ensure timely delivery.
• Roadmap Management: Track and socialize technical deadlines for payment partner-driven changes, ensuring Mangopay’s infrastructure is prepared for upcoming industry shifts.

Technical Governance & Security Compliance

• PCI-DSS Leadership: Manage the end-to-end validation process for merchant SAQ and RoC submissions, ensuring the continued security of our processing environment.
• Compliance Reporting: Submit bi-annual technical reports and manage the relationship with Qualified Security Assessors (QSAs) during recurring audits.
• Incident Response Coordination: Provide technical expertise during security reviews or breach response scenarios, ensuring all scheme reporting obligations are met with precision.

Experience

You are recognised for:

• 5+ years of experience in technical payment operations, payment engineering, or technical compliance for a major PSP or global acquirer.
• Technical Breadth: Deep understanding of ISO 8583, 3D Secure frameworks, and the technical mechanics of the authorization and settlement lifecycle.
• Security & Compliance Expertise: Strong background in PCI-DSS governance and a history of successfully managing technical audits.
• Data-Driven Problem Solving: Expert ability to monitor and analyze payment performance data; professional experience with SQL and Snowflake is required.
• Cross-Functional Influence: Proven ability to lead complex technical projects that require collaboration between Treasury, Engineering, and Security teams.
• Relevant Certifications: PCIP, CISA, or similar technical certifications are a plus.

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.

Analytics Engineer 

About the Role

We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform.

In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company.

Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture.

Key Responsibilities 

Data Modeling & Transformation

• Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake.
• Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures.
• Apply best practices in modularity, documentation, and testing to ensure long-term reliability.

Pipeline Ownership

• Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring.
• Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools.

Enablement & Collaboration

• Partner with analysts, data scientists, and business teams to define and deliver trusted data assets.
• Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake.
• Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams.

What You’ll Need

Required

• Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.
• Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques.
• Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning).
• Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions.
• Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks.

Preferred

• Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance.
• Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration.
• Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
• Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan

What’s in it for you

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

The Role

Neo4j GraphAcademy provides free, self-paced, hands-on online training paths for Developers, Data Engineers, and Data Scientists to achieve success with Neo4j.

We are looking for an enthusiastic Curriculum Developer to create engaging, hands-on online training courses, videos, and technical content that educate and empower Neo4j users of all experience levels.

You can view our existing course catalogue and get a feel for how we teach at graphacademy.neo4j.com.

Key Responsibilities

• Design and produce high-quality technical content (courses, videos, sample applications, diagrams) using existing Neo4j Documentation.
• Identify gaps in the course catalog, develop courses to cover them, and build clear learning paths for different graph use cases.
• Provide feedback on Neo4j offerings and course catalog to improve the user experience.
• Collaborate with the distributed Developer Relations, Marketing, Product Management, Solutions Engineering, and R&D teams.
• Be comfortable expressing complex subject matter clearly and simply, and working on camera.

Qualifications

• Must Haves:
• A background in education or technical writing.
• Able to demonstrate experience creating video content that uses visual aids to break complex content down into easy-to-understand content.
• Ability to research and develop training materials for users of all ability levels.
• An empathy for users and their learning experience.
• A strong command of the English language (writing and speaking).
• Experience working remotely.
• Nice to Have:
• Experience with Generative AI, Large Language Models, and GenAI frameworks.
• Experience with software development, databases, data engineering, or machine learning.

Specialities

We are seeking educators with expertise in one or more of the following domains. Candidates may have direct professional experience in the field or a background in technical education within these areas.

• Data Ecosystem Integration: Experience integrating or migrating data across major cloud platforms and data providers, such as Snowflake, Databricks, and Microsoft Fabric.
• Generative AI (GenAI): Deep expertise in GenAI, including building applications that utilize Retrieval-Augmented Generation (RAG) and Context Engineering principles.
• DevOps and System Administration: Experience in DevOps practices and administering large-scale systems.

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. 

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Data Analytics Architect (Snowflake & dbt Expert)
Location: Western Europe

We're looking for a highly skilled Data Analytics Architect to serve as the cornerstone of our Go-To-Market (GTM) data platform and accelerate our ability to deliver actionable insights. In this role, you will take full ownership of our Snowflake environment and dbt projects to enhance and maintain our existing technical foundation. You will serve as the strategic bridge between our leadership in North America and our engineering teams in India, translating complex business objectives into high-performing, code-based data architectures. As our primary Snowflake and dbt expert, you will not only maintain our "warehouse-first" strategy but also pioneer the integration of modern AI tools like Claude Code into our development lifecycle to drive unprecedented efficiency.

To be successful in this role, you must be a technical powerhouse who is equally comfortable writing production-grade SQL/Python and presenting data strategy to stakeholders. You are a fast, clear, and independent thinker who thrives on the "get things done" mentality of a high-growth environment. You possess a deep understanding of modern data stack best practices—specifically version-controlled development and end-to-end orchestration—and you are never satisfied with the status quo. You excel at collaborating across time zones, navigating ambiguity without formal authority, and maintaining technical excellence under pressure. You are passionate about automation, detail-oriented in your data modeling, and have superb communication skills to make complex data lineages easy to understand for everyone in the organization.

As an Data Analytics Architect, you’ll get to:

• Own and Administer Snowflake: Manage the end-to-end Snowflake environment, including performance tuning, RBAC security modeling, cost optimization, user permissions, and compute management.
• Architect dbt Foundations: Lead the development of our dbt project, establishing standards for modeling, testing, documentation, and CI/CD pipelines.
• Bridge Global Teams: Act as the primary technical point of contact between North American leadership and India-based resources, ensuring seamless requirement translation and project execution across time zones.
• Operationalize AI: Integrate AI-assisted development (Claude Code, LLMs) into the workflow to automate boilerplate tasks and accelerate time-to-value for new data products.
• Transform GTM Data: Replace and enhance the "Warehouse-First" models, centralizing data from Salesforce, product usage, and marketing tools into a unified, clean source of truth.
• Ensure Data Integrity: Establish and own data quality monitoring, observability, and alerting frameworks to ensure business-critical dashboards remain reliable and accurate.

You’ll be a good fit if you have:

• 5-7+ years of experience in Data Analytics Architecture or Data Engineering, with a proven track record of owning a cloud data warehouse at scale.
• Mastery of Snowflake architecture, administration, and performance optimization.
• Advanced proficiency in dbt (Core or Cloud), including experience with macros, packages, and complex DAG management.
• Demonstrated success working within a distributed team, specifically coordinating between Western Europe, North America, and India.
• Fluent in version control (Git), SQL, and Python, with a strong focus on building maintainable, "code-first" data solutions.
• Experience (or high comfort level) using Claude Code and other AI development tools to enhance productivity and code quality.
• Understanding of SaaS metrics and Go-To-Market data flows (Salesforce, Marketo, Revenue Ops) is highly preferred.
• Native or near-native English fluency, with the ability to explain technical debt, architectural trade-offs, and data lineage to non-technical leaders.

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music’s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Vice President of Engineering within our Content product team.

We are hiring a hands-on Data Quality & Governance Engineer to build and run the governance that underpins our Data & AI function.

You will sit at the intersection of engineering, governance, and risk. Your focus is to build quality, metadata, lineage, and control capabilities into our data and AI platforms, and fix issues where data is created. The goal: reduce downstream issues and give LHV a clear, single view of how critical data and AI assets are governed.

You will work closely with the Head of Data & AI, engineers, AI/ML team, risk, and technology partners to turn policy into automated patterns across the platform.

 What You Will Do

Data Quality and Observability by Design:

• Implement automated data quality checks, alerts, and observability for critical datasets, data products, and AI features (Python, SQL, dbt, similar tools).
• Work with source system teams to identify root causes and fix data at source.
• Embed controls in pipelines and transformations (schema, referential integrity, freshness, PII, data contracts).
• Define and monitor data SLIs/SLOs (availability, latency, freshness, completeness) and feed these back to teams.
• Integrate quality and observability signals into monitoring and incident tooling (e.g. Coralogix, Jira)

Build and Run Governance Operations:

• Help design and operate the Data & AI governance “spine” that connects policies, data, AI, and risk.
• Implement and maintain:
  • An enterprise data catalogue and glossary
  • End‑to‑end lineage from source to warehouse/lake to products, models, and reports
  • Ownership, stewardship, and criticality metadata aligned to the Data & AI Stewardship Model
• Ensure governance tooling reflects how data actually flows.
• Link governed assets to policies, controls, and risks, giving a single view of what data we have, where it comes from, how it is used, and who is accountable.

Enable Safe, Governed AI and Analytics:

• Make core data assets “AI ready” through strong provenance, documentation, and quality standards.
• Integrate governance with AI services and model lifecycle tooling so:
  • Models and AI use cases are registered, owned, and linked to their data
  • Training data, features, and outputs have clear lineage back to source
  • Data quality and model monitoring (performance, drift, bias) can be traced end to end
• Partner with Data Scientists, ML Engineers, and Analysts to design repeatable, governed patterns for feature stores, training datasets, and AI outputs.

Support Stewardship, Risk and Compliance:

• Work with Data Owners, Stewards, Custodians, and AI Stewards to:
  • Identify and prioritise Critical Data Elements (CDEs) and high‑impact AI use cases
  • Capture ownership, definitions, quality rules, and control requirements
• Implement practical solutions for:
  • Classification, retention, and access control (e.g. GDPR, banking regulation)
  • Audit trails and evidence for key data flows and AI services
• Provide clear views of where critical data comes from, how it flows, and how well it is controlled, including:
  • Lineage, quality coverage, and control effectiveness
  • Inputs to the Data & AI Governance Forum
  • Regulatory and internal assurance materials

Technical guidance:

• Provide technical guidance and code review for governance and quality patterns.
• Contribute to shared practices for governance as code, CI/CD, testing, and observability for data and AI workloads.
• Work in an agile environment with product, engineering, risk, and business stakeholders to turn governance requirements into deliverable work.
• Help evaluate and introduce governance and observability tooling (catalogues, lineage, data observability, AI governance).

 What We Are Looking For

Essential:

• Significant experience within in a data‑focused engineering role (e.g. Data Engineer, Analytics Engineer, Data Platform Engineer, Governance Engineer) with strong emphasis on data quality, governance, or observability.
• Experience with financial data or in financial services or other regulated industries.
• Strong hands-on Python and SQL for checks, automation, and integrations.
• Proven experience implementing automated data quality rules and monitoring (dbt tests, custom SQL/Python checks, data observability tools) and using them to drive fixes at source.
• Practical understanding of data governance (catalogue, lineage, ownership/stewardship, CDEs, access control, retention) and how to operationalise it in production.
• Experience with cloud‑native data platforms, ideally AWS (e.g. Redshift, S3, Glue, Lambda, IAM) or similar.
• Familiarity with modern data modelling and transformation (e.g. dbt, dimensional modelling, star/snowflake schemas).
• Experience with CI/CD and infrastructure as code for data systems (e.g. GitHub Actions, CodeBuild/CodePipeline, Terraform).

Desirable:

• Experience with data governance platforms or catalogues (e.g. Collibra, Atlan, Collate, Alation, OpenMetadata).
• Experience with data observability or monitoring tooling (e.g. Monte Carlo, Coralogix, custom metrics/alerting).
• Exposure to ML/AI pipelines, model registries, feature stores, and monitoring (e.g. MLflow, Evidently).
• Experience defining and operating data products with SLAs, contracts, and clear ownership.

Job responsibilities

Job qualifications

Other things to know

Responsible Use of AI in Recruitment

About Thoughtworks

#LI-Onsite

Spaulding Ridge is an advisory and IT implementation firm. We help global organisations get financial clarity into the complex, daily sales and operational decisions that impact profitable revenue generation, efficient operational performance, and reliable financial management.

At Spaulding Ridge, we believe all business is personal. Core to our values are our relationships with our clients, business partners, team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.

We are looking for a Data Engineer to join our excellent Data Solutions team in London.

We implement data analytics platforms for our customers based on the Modern Data Stack approach, leveraging tools like Workato/Boomi, Snowflake/BigQuery/Microsoft Fabric/Databricks, dbt and Sigma/Omni/Looker. We are a Consulting Partner of those technologies, so we are in close contact with their Sales and Solutions teams to support customers in testing, implementing and adopting those tools.

Our clients range from the hottest scale-ups in Europe to famous public enterprise companies.

The role

• Model data as an Analytics Engineer in tools like dbt to create business logic from raw data.
• Assess clients' data infrastructure, identify improvements, and propose creative solutions and designs to tackle their challenges.
• Evaluate and design several data model pipelines for specific use cases and deliver technical presentations.
• Understand and manage modern Data Warehouses like BigQuery and Snowflake (schema structures, access control, performance, costs).
• Manage data ingestion through managed ELT tools like Workato, Boomi, and Fivetran as a first approach to data integration; custom data pipelines deployment based on cloud services is a plus.
• Get certified in our core technologies if you aren’t yet, mainly Snowflake SnowPro Core, Google Cloud Professional Data Engineer, and/or dbt Certified Developer.
• Deliver training, technical presentations, and co-development sessions with customers to help them implement a Data Stack.
• Participate in pre-sales conversations with prospective clients to define the scope and estimate the work for the project.
• Stay up-to-date to help customers prepare for using new features. Learn new tools at the advanced level and help customers do the same.
• Think beyond the task at hand; understand how our customers define their own success with the tool and help them work toward that goal.
• Share your knowledge, support the internal team, and learn from your peers on internal office hours and individual sessions.

You have

• Relevant experience modelling data, manipulating datasets, managing data warehouses, and high proficiency in SQL.
• Programming experience, ideally in Python, but other languages considered.
• Experience with any Cloud Provider (Azure and GCP preferred) and their respective data services.
• Experience with Git, CI/CD, and Infrastructure as code (like Terraform).
• Knowledge of any BI tool such as Omni, Sigma, Looker, PoweBI, etc.
• Self-motivation to study, discover new products and technologies in the data landscape.
• Ability to speak and write in English (fluently). The vast majority of our projects are delivered in English.
• Experience in delivering technical presentations.

#LI-DR1

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

Senior Data Engineer 

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and the ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Certifications in Databricks, Snowflake or similar technologies.
• Experience in the leading large scale data engineering projects.

Working Conditions

• Hybrid work arrangement: two-three days per week working from the office

Senior Data Engineer 

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and the ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Certifications in Databricks, Snowflake or similar technologies.
• Experience in the leading large scale data engineering projects.

Working Conditions

• Hybrid work arrangement: two-three days per week working from the office

The Team

The Data and AI division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The division owns the sourcing, delivery and analytics of traditional and alternative data to our investment teams as well developing and supporting Man Group's central data platform. The division is also responsible for development of generative AI tooling to drive innovation and accelerate business processes.

The function seeks to unlock the value in data by partnering with investment teams to source new and diversifying datasets and build scalable evaluation methods and insights on data. The core value which unifies us is a passion to utilise science, technology, and data to enhance our investment and business processes.

The Role

As a Senior Analyst in the Data Science team, you will acquire, wrangle, map and analyse large structured and unstructured datasets to support quantitative research and portfolio management teams in alpha generation. You will act as a subject matter expert on select projects — delivering fundamental research, exploratory analysis and actionable insights. 

Your responsibilities span the full data lifecycle: vendor scoping, data ingestion, exploratory analysis and pipeline prototyping. You will be expected to embrace AI development tools to accelerate delivery and drive adoption across the team. Work is delivered through self-managed projects in collaboration with investment teams and the wider Data & AI division, with the goal of providing scalable, low-touch data delivery and analysis. 

Role Responsibilities

• Collaborate with investment teams to identify data opportunities, propose creative use cases, and recommend datasets to inform investment strategies.
• Acquire, transform and analyse large, messy and unstructured datasets to support investment research and decision-making.
• Research company KPIs, perform statistical tests and draft research reports to maintain an accessible knowledge base for investment teams.
• Contribute to the design and development of our AI-powered data platform, streamlining the data scouting → onboarding → evaluation workflow.
• Build proof-of-concept data products and AI-driven tools, collaborating with technology to productionise them.
• Contribute to firm-wide data initiatives and stay informed on industry trends in alternative data.

Key Competencies

Essential

• 4+ years of proven experience in data wrangling, time-series analysis, statistical techniques and data visualisation.
• Proficient in the Python data science stack (Pandas, NumPy, Spark, Matplotlib) with experience leveraging AI-assisted coding tools to accelerate development.
• Working knowledge of Snowflake, Linux/UNIX, Git, Jira.
• Passion for embracing agentic engineering — willingness and ability to work effectively with AI development tools as part of daily workflow.
• Ability to present technical results and concepts to non-technical audiences.
• Entrepreneurial mindset with a willingness to deeply understand investment strategies and proactively push data-driven solutions.
• Strong academic record with a degree in a STEM field.

Nice to have

• Previous experience working with investment professionals in a fast-paced environment preferred.
• Experience writing ETL pipelines and fluency in SQL preferred.

The Opportunity

The Head of Analytics is responsible for maximising the impact of analytics across HeliosX during a period of transition. The role will drive higher-quality, insight-led decision-making by leveraging existing data capabilities and embedding advanced analytical thinking across the business. Operating as a hands on leader, the role combines direct delivery of high impact analysis with the development and uplift of analytics capability across the team, ensuring consistent, value-driven outputs aligned to business priorities.

What you’ll do

Commercial Analysis and Insights 

• Act as the lead analytical problem solver on the most critical business questions
• Deliver end-to-end, deep-dive analysis across areas such as:
• Acquisition performance & channel efficiency
• Retention, churn and LTV dynamics
• Pricing and commercial optimisation
• Operational performance and cost drivers
• Provide actionable recommendations based on data insights to inform strategic and operational decisions
• Work with cross-functional leadership to identify, collect, analyze, and interpret data to help refine and prioritise Group strategy
• Move beyond descriptive reporting to diagnose root causes and identify clear actions
• Work directly with senior stakeholders to shape decisions in real time
• Lead the delivery of reports and presentations to communicate findings
• Work with the Financial Planning & Analysis (FP&A) lead to ensure analytical insights are incorporated into the business plan and that variances to plan can be explained
• Partner with Data Science to integrate; Predictive.  Modelling, Experimentation and Advanced segmentation

Data Visualisation and Reporting

• Reduce time spent on manual reporting and dashboard production
• Leverage AI + Snowflake capabilities to automate or eliminate low-value workflows
• Redefine team priorities toward fewer, higher-impact analytical outputs
• Establish a culture of proactive, hypothesis-led analysis
• Lead on BI education and data literacy for business stakeholders across functional teams
• Ensure data-driven insights are presented in a clear and actionable format

Team Management

• Set a new standard for; problem structuring, analytical depth and commercial insight
• Coach analysts through real work and live problem solving
• Stay close to the work, actively reviewing and contributing to analysis
• Introduce more rigorous approaches to; hypothesis-driven analysis, causal thinking and then how to translate data into decisions
• Work alongside Data Governance to improve metric clarity and trust over time

What you’ll bring to HeliosX

• Proven track record in analytics, strategy, or data roles in high-growth, data-rich environments
• Strong track record of personally delivering complex, high-impact analysis (not just managing teams)
• Solid background of data governance and reconciliation, with a strong grasp of financial and ecommerce metrics
• Comfortable operating as a senior individual contributor and team leader simultaneously
• Strong data management skills, having experience with python / R and advanced SQL skills
• Excellent communication, presentation, and business partnering skills, inspiring confidence through powerful messaging and a natural rapport
• Comfortable with ambiguity, possessing the ability to proactively work independently and collaboratively
• Strong commercial acumen — able to connect analysis to revenue, margin and customer outcomes
• Outstanding organisational and time management skills, with a keen eye for detail when appropriate
• Resilient, pragmatic, and agile. Confident in making candid observations and openly engaging with difficult truths in order to deliver solutions
• Strong stakeholder management and collaboration skills to understand business needs, challenges and objectives

Life at HeliosX

At HeliosX, we’re building the future of healthcare. That means we need brilliant, mission-driven people who are excited to innovate, scale, and create change.

Here’s what you can expect:
- 25 Days Holiday (+ public holidays)
- Private healthcare, including dental and vision cover
- Employee Pension with Smart Pension and enhanced parental leave
- Cycle-to-work and Electric Car schemes
- Free monthly products from Dermatica and MedExpress, plus family discounts
- Home office allowance
- Wellbeing perks: Headspace subscription, gym discounts, L&D budget, and free Audible subscription


#LI-Senior

#LI-Hybrid

What we do:

The FP&A Sales Finance team is a critical partner to The Trade Desk’s EMEA commercial organisation, driving sustainable growth through data-driven financial insight, revenue forecasting, and commercial decision support. EMEA spans 15+ markets – including the UK, Germany, France, Spain, and the Nordics – each with distinct market dynamics, programmatic maturity, and growth profiles. 

As EMEA scales and the complexity of commercial operations grows, the team is building the analytical infrastructure and business partnership model to support the next phase of growth. We are seeking a Manager, Sales Finance EMEA to serve as a strategic financial partner to EMEA sales and commercial leadership: someone who can move fluidly from a VP-level strategy conversation in the morning to building the analytical model or presentation that supports it in the afternoon. Being able to navigate ambiguity will be critical, we are building, advising, and doing all in one. 

What you'll do:

• Act as a trusted finance business partner to EMEA sales and commercial leadership; providing clear, data-backed recommendations on revenue performance, growth opportunities, and resource allocation.
• Support and maintain EMEA revenue forecasting: working alongside quantitative projection models, adding commercial context, identifying risks and opportunities, and communicating outcomes to leadership.
• Build and manage analytical frameworks for the EMEA P&L: take-rate monitoring, contra management, OPEX tracking, and headcount planning.
• Lead the development of executive-level materials: weekly revenue commentary, quarterly business reviews, and exec-ready presentations, that translate complex financial dynamics into clear narratives.
• Partner with Business Strategy & Activation, BI, Systems Engineering, and Data teams to improve reporting infrastructure, ensure data integrity, and build scalable, repeatable analytical processes.
• Connect and manipulate large datasets across multiple sources (Snowflake, parquet, Excel) to surface insights that wouldn’t be visible from standard reporting.
• Support GTM initiatives and strategic commercial decisions with rigorous financial modelling and scenario analysis
• Operate across the full spectrum: strategic sounding board for senior leaders, analytical builder, and hands-on executor – often in the same week. 

Who you are: 

Core requirements 

• 6-7+ years of relevant experience in FP&A, commercial finance, or a related analytical and strategic discipline.
• A strategic thinker: able to step back, identify the real question, and frame a problem clearly before executing on it.
• A relationship builder: earns trust with senior stakeholders through rigour and reliability, not just seniority. Comfortable in a room with EMEA VPs on Monday and building the slides that underpin the conversation on Tuesday.
• Engineer-minded: understands how data is structured, how to join datasets, how to build analytical pipelines. Not necessarily a software engineer, but comfortable with or learning to run Python, querying SQL, and being able to figure out / self-serve to get or create the data to answer the question or build the analysis.
• Finance and FP&A grounding: solid understanding of revenue planning, cost drivers, and ROI frameworks. Able to construct and interrogate a financial model, not just populate one.
• Comfortable with ambiguity: thrives in environments where the brief isn’t always fully formed, the data isn’t always clean, but the answer needs to be reasoned from first principles.
• No ego: equally at home in strategic advisory mode and execution mode. Able to listen and synthesise in a senior meeting, then operationalise the output without needing to be asked twice.
• A framework thinker who also executes: the role is not about generating ideas – it is about building systems, maintaining them, and improving them over time.
• Exceptional communication: translates financial and quantitative complexity into language that commercial leaders can act on.
• Has fun with work. 

Nice to have 

• Experience in advertising technology, programmatic, or adjacent data-driven industries.
• Experience in high-growth technology companies.
• Familiarity with the programmatic advertising ecosystem and agency/advertiser dynamics. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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

Position Overview:

We are seeking a strategic, data-driven leader with a deep understanding of sales processes, marketing strategies, and customer success to join the GTM Operations team. The Manager of GTM Operations (EMEA/APAC) is a critical, strategic partner to the VP of Sales in EMEA and APAC. You will foster collaboration and alignment among the entire commercial organization including Sales, Customer Success, Marketing, and Partnerships. The ideal candidate will have a proven track record of building scalable processes and leveraging AI to drive sustained revenue growth. Strong analytical and strategic planning capabilities are essential.  

Key Responsibilities: 

 Commercial Strategy and Growth 

• Partner with the Sales and Finance to develop and operationalize a commercial growth strategy, ensuring alignment between pipeline and bookings targets, capacity, headcount and budgets 

• Translate complex data into actionable recommendations for Commercial leaders  

• Develop and maintain segmentation models and sales coverage strategies that align to growth objectives, drive focus, and optimize rep productivity 

Forecasting & Pipeline Management 

• Drive and evolve the sales forecasting framework, implementing a disciplined, data-driven forecast cadence across all theatres and segments 

• Utilize Salesforce, GTM tools and data sets (snowflake) to drive predictability, pipeline conversion, stage hygiene, and deal inspection processes. 

• Leverage AI and machine learning capabilities within the existing data stack (e.g., Snowflake, Salesforce) to enhance forecast accuracy, surface pipeline risk earlier, and automate routine reporting 

• Deliver consistent reporting on performance-to-plan, win/loss trends, and funnel dynamics 

GTM and Sales Efficiency  

• Drive operational excellence by refining core sales processes, methodologies, and business cadences (e.g., territory management, forecasting, and pipeline reviews) 

• Implement a standardized sales methodology, with clear stage definitions, qualification criteria, and progression benchmarks across segments 

• Build and maintain reporting frameworks, dashboards, and KPIs to provide actionable insights into pipeline health, sales performance, and revenue forecasting  

• Identify and deploy AI-powered tooling across the sales workflow, such as automated deal scoring, forecasting models, and conversation intelligence, to reduce manual effort and improve rep productivity 

Territory Management 

• Lead territory design in region, ensuring sales coverage aligns with market opportunities and business objectives 

• Continuously optimize territory assignments and GTM approaches based on performance data and growth trends 

Qualifications:  

• 5-7+ years of experience in Revenue Operations, Commercial Strategy, or Go-to-Market Operations 

• Proven experience partnering directly with CROs, CFOs, and executive leadership to design and execute multi-year commercial plans 

• Deep expertise in Salesforce, Outreach, and other GTM tools. 

• Strong analytical skills and fluency with forecasting, funnel metrics, sales velocity, and retention/expansion KPIs 

• Demonstrated success in improving sales productivity, enhancing marketing performance, and supporting customer success initiatives 

• Experience designing sales methodologies and commercial processes that scale in B2B SaaS 

• Comfort working cross-functionally and influencing without authority, excelling at aligning diverse stakeholders around common goal. 

• High EQ, clear communication skills, and a strong sense of ownership 

#LI-SK2

About the Team:

We’re looking for a hardworking, focused and driven Enterprise Account Executive to channel energy, passion and initiative into new logo acquisition. You'll be responsible for developing and executing against a comprehensive account/territory plan whilst working collaboratively with our internal and external resources. This is a 100% remote role with preference for candidates located in the Greater London Metro.

About the Role:

• Proactively, identify, qualify and close sales pipeline across your territory and accounts
• Close business to meet and exceed monthly, quarterly and annual business targets
• Demonstrate an extensive understanding of the Obsidian Security offering and our value to our customers
• Align with our partners and alliances to optimize opportunities
• Partner with internal resources across Sales Engineering, Customer Success and Professional Services
• Demonstrate accurate pipeline forecasting and management
• Actively participate in our sales enablement training

About You:

• 5+ years of enterprise sales experience
• Working knowledge of sales concepts, methods and techniques
• Experience evangelizing new technology into large enterprise accounts.
• Able to maintain and manage existing client relationships and accounts.
• Able to utilize existing client and/or C-Level relationships, as well as build new relationships across IT Security as well as other lines of business.
• Self Starter that creates and maintains a sales pipeline by capturing accurate and complete information in selected CRM databases including activity, closing, project forecast, close ratios and market intelligence.
• Strong ability to understand a customer's business issues and needs and be able to articulate and map back value to a solution.
• Strong prospecting skills, deal qualification, and POV management skills, leading to acquisition of new business.
• Team player with the ability to collaborate well with internal stakeholders or partners to drive opportunities to closure.
• Need to maintain and keep up with market trends, competitor analysis, and market conditions which may impact customers.
• Able to learn quickly and ramp to be able to effectively articulate and differentiate the value of our product to prospective clients.

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

About the role:

Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations.

What you will be doing:

• You will work with Sigma’s customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues. 
• Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
• Collaborate with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product.
  
  

Qualifications we are looking for: 

• Industry experience supporting enterprise products for data analytics.
• Computer Science fundamentals. Strong domain expertise in databases and business intelligence
• SQL proficiency - Very good grasp on JOINs, Partitions, Window Functions, Aggregations, CTEs, Sub-queries etc. 
• SQL query performance troubleshooting and plan generation understanding 
• Proficient in data modeling concepts
• Ability to properly chart data into logical visualizations
• A proven track record of building trust with customers and bringing issues to resolution quickly
• Excellent verbal and written communication skills
• A strong desire to build scalable processes for issue resolution (documenting common patterns for issue resolution, building tooling for diagnosing issues etc)
• Strong collaboration skills and the ability to work with multiple departments and co-ordinate issue triaging, diagnosis and resolution
• Desire to be a great teammate and have fun at work

Highly Desirable Skills & Experiences

• Supporting a cloud service in production
• Experience working with Snowflake, Redshift, BigQuery
• Knowledge of GCP, AWS
• Startup experience

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

The Experience You’ll Need

• 5+ years of deep experience in modern, cloud-based data engineering. You have a proven track record of building and maintaining robust platforms that enable the discovery, query, and processing of large-scale datasets.
• Expertise in Core Technologies (Mandatory): You possess advanced proficiency in Python and SQL and experience with Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, etc.), and Agentic Development (Cursor, Claude, etc.)
• Data Fundamentals & Architecture: You have a deep understanding of Relational Databases (Postgres, MySql, etc.) and are proficient in working with data container files (e.g., Parquet, Avro, etc.). You are familiar with Medallion Architecture (Bronze/Silver/Gold) and know how to apply its principles to build scalable, reliable data products.
• Cloud & Platform Operations: You are seasoned in at least one major cloud provider (GCP, AWS, or Azure). You are comfortable in a "DevOps" capacity—specifically managing the infrastructure and tools that empower other engineers to run their pipelines, rather than focusing solely on building ETL flows.
• Hands-On: You understand the trade-offs between different architectures (Data Lake vs. Warehouse) and can make high-level decisions regarding CI/CD and system maintenance. Crucially, you are a "doer" who enjoys getting into the weeds of implementation, not only designing the blueprint.
• Collaborative Problem Solver: You thrive in environments with significant technical ambiguity. You can navigate complex systems and diverse technologies to deliver solutions that are easily monitored, quantified, and understood in production.
• People-First Mindset: You prioritize supporting your coworkers’ growth. We value a culture where meeting deadlines never comes at the expense of being a helpful, empathetic teammate.
• Intellectual Curiosity: While a background in drug discovery, biology, or chemistry isn't required, a drive to learn the domain and explore new technologies is essential!

• Cloud: Google Cloud Platform (GCP), GCS, Pub/Sub.
• Tools: dbt, Prefect, Argo Workflows, BigQuery, Snowflake, Fivetran, Datastream, AI/LLM (Cursor, Claude Code, and Gemini available).
• Infrastructure: Kubernetes, PostgreSQL, CI/CD (Argo).

Working Location & Compensation:

This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

Location: London #LI-Hybrid

About Sedna

Sedna is at the forefront of revolutionising global trade, serving as the North Star for businesses navigating the complexities of international commerce. Our AI-powered platform is designed to make global trade more efficient, transparent, and sustainable. As we continue to grow and innovate, we are looking for exceptional talent to join our journey and contribute to our mission of transforming global trade.

Role Overview

The Enterprise Customer Success Manager owns Sedna's most commercially significant customer relationships. This is a senior, largely autonomous role for someone who is equally comfortable running an executive-level conversation and building the account infrastructure, success plans, health monitoring, renewal strategy, that makes that conversation credible.

The portfolio spans Premier and Strategic accounts globally. These are customers with high ARR, high complexity, and in many cases, long relationships that carry both genuine opportunity and genuine risk. The job is to hold those relationships well, act on signals before they become problems, and surface and progress commercial outcomes in partnership with Sales.

This is not a role that fits someone who needs clear direction on what to do next. The expectation is that you read the account, form a view, and act on it. The Head of Customer Success is there for strategic decisions and unusual situations, not routine account management.

Key Responsibilities

Account Ownership

• Own a named portfolio of Premier and Strategic accounts. Know them well enough that no renewal, no escalation, and no expansion conversation comes as a surprise.
• Build and maintain executive-level relationships. The relationship should not depend on the product working perfectly; it should be strong enough to hold when it does not.
• Produce and execute success plans tied to customer outcomes, not just product usage metrics. Plans should reflect what the customer is trying to achieve and how Sedna is contributing to it.
• Run QBRs with commercial framing. A QBR should advance the relationship and the commercial position, not just report on the quarter.
• Maintain deep product knowledge across Sedna Email, Prefix, and VMS. You are not delivering training, but your commercial conversations need to be grounded in a genuine understanding of how customers are using the product and where they are not.

Retention and Renewal

• Monitor account health continuously and act on risk signals before they become churn conversations. If a customer is at risk, the Head of Customer Success should hear about it from you, not from the customer.
• Co-own the renewal conversation with the AE. Own the preparation, the relationship context, and the customer's readiness to renew; Sales owns the close.
• Escalate renewal risk early, with a clear view of what is driving it and what the options are.

Growth and Expansion

• Identify and progress expansion opportunities in collaboration with the AE. This means having enough commercial awareness to spot the signal and enough credibility with the customer to explore it.
• Bring the Head of Customer Success into complex or large deals at the right moment, not after the conversation has already been shaped.

Cross-functional Coordination

• Coordinate training delivery through Education. You are not responsible for delivering training; Education owns that. Your job is to ensure the right training reaches the right accounts at the right time.
• Work with the Programme Manager to ensure smooth onboarding for new accounts entering the portfolio.
• Provide context to Education Specialists before training sessions on Premier and Strategic accounts, so delivery is appropriately calibrated.
• Partner with Support and Product to close feedback loops and ensure customer insights are informing the right internal conversations.

About You

• Significant experience managing complex, high-value B2B accounts at a senior level, with a track record of holding executive relationships and co-owning commercial outcomes alongside Sales.
• Strong executive presence and the ability to hold a relationship through difficult conversations, not just good ones.
• A background in shipping, maritime operations, or global trade is strongly preferred. Sedna serves some of the world's largest maritime businesses, and candidates who understand how those organisations operate will be better placed to build credible, lasting relationships with them.
• Commercially fluent: able to read a renewal situation, understand what is driving it, and act with appropriate urgency without waiting to be asked.
• Clear, structured communicator in writing and in person, comfortable presenting to senior stakeholders and leading commercial conversations.
• Familiarity with Salesforce or equivalent CRM. Experience with tools such as Mixpanel or Snowflake is an advantage.

What Success Looks Like

• A portfolio where no renewal, escalation, or expansion conversation comes as a surprise, because you have been managing the signals well in advance.
• Executive relationships on Premier accounts that are strong enough that customers would describe you as genuinely useful, not just present.
• Net Revenue Retention at or above target, with a clear understanding of what drove the result in both directions.
• Expansion pipeline contribution in partnership with Sales, with opportunities identified and progressed rather than waited for.
• Customer insights flowing consistently into QBRs, product feedback, and internal planning.

Directional KPIs

• Net Revenue Retention on portfolio
• Logo retention rate on portfolio
• Expansion ARR generated
• Renewal on-time rate
• QBR completion rate against plan
• Time to escalation on at-risk accounts (faster is better)
• Executive relationship health, qualitative, assessed quarterly by Head of Customer Success
• Training coordination rate: proportion of accounts receiving at least one Education touchpoint per quarter

Our values:

Finally, culture is important to us, so we also look for candidates who share our values:

Stay ahead, stay agile

• We don’t just adapt-we anticipate change and act with confidence.
• Curiosity, data, and customer insights help us stay ahead of the curve.
• We embrace challenges as opportunities and remain resilient under pressure.
• By staying open to new ideas and ways of working, we lead the future.

Execute with focus

• We turn strategy into action, delivering measurable results that matter.
• Every initiative counts-discipline and ownership drive business impact.
• We make smart decisions with speed, balancing pace and precision.
• Clear priorities keep us focused on what moves the needle.

Work together, win together

• Collaboration is our superpower-we succeed as one team, internally and with customers.
• We co-create solutions, seek feedback, and build the future of the OS together.
• Strong relationships are built on trust, respect, and shared goals. 
• By aligning across teams and with customers, we unlock greater impact.

Why Join Sedna? 

• Be part of a dynamic team driving innovation in the maritime industry
• Join a culture of innovation and openness where your ideas can make a real impact
• Work with technology that's transforming the maritime industry 
• Contribute to solutions that drive both profitability and sustainability in shipping 

Sedna is committed to maintaining a progressive, innovative workplace where every team member can thrive. We value diversity, sustainability, and continuous learning as we work together to shape the future of maritime technology.

Our EMEA Alliances organization is seeking a Sr. Field Alliance Manager to join our rapidly growing Partner team. In this role, you will tactically execute Sales GTM initiatives, strategies, and partner programs to engage our strategic technology partners. This role is instrumental to the growth of our partnerships in EMEA.

What you will be doing:

• Evangelize, enable, and execute go-to-market strategies with technology partners.
• Build and socialize joint solutions with the Sigma GTM Team and technology partners.
• Drive and nurture new programs and opportunities through our sales team to deepen our partnership with strategic technology partners, resulting in increased referrals and co-sells.
• Collaborate with the Sigma sales and marketing team to support events that enable and bolster our co-sell efforts.
• Host Sigma enablements and partner appreciation events to identify and expedite co-sell opportunities across the EMEA region
• Co-own support materials for various programs and initiatives with technology partners to enhance the top-of-funnel pipeline.
• Regularly meet with sales and sales leadership.
• Track, measure, and report on agreed KPIs using Sigma for Sales and Partner management.
• Monitor the joint EMEA Slack channels with technology partners to encourage rep to rep collaboration.

Qualifications we are looking for:

• 4–7 years of experience in sales or partnerships
• Possess Sales DNA and understand the sales mentality to align with the needs of the Sales organization.
• Preferably have a working knowledge of cloud environments and data ecosystems.
• Thrive in a fast-paced environment and can keep up with a highly motivated team and rapidly growing market.
• Exhibit extreme organization and collaboration skills.
• Act as a self-starter, demonstrating initiative in getting tasks done.
• Identify and communicate wins and areas for improvement that contribute to innovation within the alliance team.
• Display strategic thinking abilities, capable of articulating and inspiring others with the big picture.

Technologies You’ll Use: Sigma, Salesforce, Crossbeam.

If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. We are enthusiastically looking for people that will help us grow our company and sometimes we are imperfect communicators and can’t articulate perfectly what experience is required for a role. We are looking for people that are excited to grow and constantly ask how we can do things better. If you are excited about the opportunity, we encourage you to apply even if you don’t satisfy 100% of the job requirements.

The Role:

This is not your average sales role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Senior Business Development Representatives (BDRs) are set up to thrive, receiving elite sales, product, and industry training. With hands-on coaching from seasoned sales leaders, you’ll learn how to develop a sales strategy, drive meaningful prospect connections, engage in consultative selling, and become a trusted advisor. Altogether, this experience is designed to prepare you for a future in sales leadership.  

Working with Sigma gives you the opportunity to get in on the ground floor of a remarkable startup. The Senior Business Development Representatives of today are the Account Executives and sales leaders of tomorrow. BDRs serve on the front lines of new business, making this one of Sigma’s most critical roles.

This is an in-office role, which means the expectation is that you would come to the office 5 days a week.

Who You Are:

• A go-getter who is hungry for personal growth and advancement
• A team player who doesn’t want to work a mundane 9-to-5
• A total nerd who understands the power of data in driving unstoppable teams
• A deeply principled person guided by honesty, integrity, and humility

What You Care About:

• Learning from leaders who are dedicated to your success
• Working in a role you genuinely love with people you enjoy being around
• Making an impact in the fast-paced world of data
• Growing your leadership skills for a long and rewarding career

You’ll Contribute By:

• Partnering with Account Executives to identify high-priority target accounts 
• Prospecting, educating, and qualifying those accounts to create sales-ready opportunities
• Cold calling contacts and running outbound prospecting sequences in Outreach
• Overcoming objections through consultative selling
• Becoming a trusted advisor by growing relationships with prospects
• Effectively using Salesforce, Outreach, ZoomInfo, and LinkedIn to execute daily workflows
• Consistently meeting or exceeding your quota of 6 qualified demos per month

Your Qualifications:

• A 4-year degree or equivalent experience (required) 
• At least 1 year BDR/SDR experience
• Meticulous attention to detail 
• Effective time management skills 
• Positive and energetic communication skills (strong phone presence, listening, and writing) 
• Proficiency with corporate productivity tools (email, voicemail, Google Workspace) 
• Sales training and Salesforce experience 
• Outreach/Salesloft experience

Additional Job details

The base salary for this position is  annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.

About This Role

This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new customers, and directly contributing to the success of our organization.  

Working with Sigma gives you the opportunity to get in on the ground floor of a high-growth startup. Our Account Executives are crucial for growing our customer base and our company, making this one of Sigma’s most critical roles. 

Who You Are:

• A go-getter who is hungry for personal growth and career advancement
• Someone who understands the power and value of data in driving innovation and business initiatives
• Someone who is principled, honest, humble, and hard-working

What You Care About:

• Learning from leaders who are dedicated to your success
• Working in a role you genuinely love with people you enjoy being around
• Making an impact in the fast-paced world of data
• Growing your leadership skills for a long and rewarding career

You’ll Contribute By: 

• Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce
• Using knowledge of the data and analytics space to interact with a diverse set of businesses in consultative sales
• Owning your sales process — from first call to demo to proposal to proof of concept to contract
• Working alongside a team of motivated reps on a high-functioning, energetic team
• Bringing on new customers and developing advocates for Sigma in the business intelligence market
• Engaging with partners in the data ecosystem to build pipeline or support specific customer needs and initiatives
• Generating new revenue for a rapidly growing company

Your Qualifications: 

• Ideally two or more years of experience closing deals
• Experience in the data analytics or BI space (Looker, Tableau, Domo, etc.) is preferred
• Background in high-tech software sales is preferred
• A track record of success in pipeline generation and quota attainment
• Partnership and co-selling experience is preferred
• Team player, hustler, all-around sales superstar

About This Role

As a Commercial Account Executive (CAE) Manager at Sigma Computing, you’ll lead a team of high-energy reps focused on delivering outstanding results in the EMEA region. You’ll mentor and coach your team to excel in a velocity sales environment, partnering with customers and internal stakeholders to drive growth and expand Sigma’s footprint. This role is ideal for a passionate leader eager to contribute to the growth of a rapidly scaling business in the Data and BI space.

Who You Are

• A driven, hands-on leader with a passion for coaching and empowering teams to achieve their goals.
• A natural collaborator with a strong sense of ownership and accountability.
• Organized and detail-oriented, thriving in fast-paced, dynamic environments.
• A trusted advisor to both your team and your customers, focused on delivering value and building lasting relationships.

What You Care About

• Building and scaling high-performing sales teams.
• Coaching and mentoring team members to achieve and exceed their targets.
• Driving customer success and satisfaction through streamlined, efficient sales processes.
• Being part of an innovative, mission-driven company reshaping the BI landscape.

You’ll Contribute By

• Leading and mentoring a team of CAEs targeting organizations with up to 2000 employees.
• Driving revenue growth and achieving team targets through a streamlined and scalable sales motion.
• Partnering with internal teams to align on go-to-market strategies and operational excellence.
• Establishing and refining best practices for prospecting, pipeline management, and deal closure.
• Acting as a trusted advisor to both customers and Sigma’s leadership team.
• Leveraging your expertise to ensure the team excels in a velocity sales environment.

Your Qualifications

• Experience:
• Few years of experience managing a successful commercial sales team in a B2B SaaS/software company, OR
• Few years of individual contributor experience in a velocity B2B SaaS sales role with proven results and a desire to transition into management.
• Preferred: Experience in the Data/BI/Analytics space is a plus but not required.
• Skills & Attributes:
• Strong leadership and coaching skills with a hands-on approach.
• Exceptional organizational skills and attention to detail.
• Ability to multitask and prioritize in a fast-paced environment.
• Excellent verbal and written communication skills.
• A collaborative, results-driven mindset with the ability to influence and inspire.

About the role

Anthropic is seeking a Field Marketing Lead to build and scale our field marketing and demand generation capabilities across EMEA. As a founding member of our EMEA field marketing function, you'll establish the programs and infrastructure that drive pipeline and revenue growth across diverse European markets, while supporting our mission of ensuring safe and beneficial AI development.

This role requires a sophisticated understanding of B2B marketing with demonstrated success in field marketing and working account-based marketing teams to create a regional growth engine. You'll develop and execute comprehensive strategies that drive revenue growth in partnership with Sales, Segment Marketing, Product Marketing teams, creating compelling programs and flywheel motions that empower the EMEA Sales team to achieve their revenue targets.

EMEA represents both our biggest international opportunity and our most complex challenge—a region where data sovereignty requirements, diverse regulatory frameworks, and sophisticated local competitors demand a fundamentally different approach than what's worked in North America. You'll work closely with EMEA sales leadership, the global field marketing team, and cross-functional partners to ensure programs directly support revenue growth and strategic account advancement.

Responsibilities

• Build and lead the EMEA field marketing function, establishing scalable frameworks and processes from scratch in the region
• Drive field marketing initiatives across enterprise, while building scaled programs for startups, adapting strategies for diverse European markets and buying behaviors
• Create and implement field marketing programs including executive roundtables, customer events, industry conferences, partner programs, and ABM activations
• Partner closely with EMEA sales leadership to align field marketing programs with territory and account-specific goals that directly achieve pipeline and revenue goals
• Establish measurement frameworks including lead scoring, attribution models, and ROI reporting to demonstrate marketing's impact on revenue
• Evaluate and select premium third-party events that align with business goals and create high-impact activation strategies
• Collaborate with global Field Marketing and Segment Marketing teams to ensure EMEA programs align with company-wide strategy while meeting local market needs
• Coordinate with EMEA Solutions Marketing and Product Marketing to ensure consistent messaging and positioning in all regional programs
• Manage regional resources including building relationships with key partners, vendors, and industry organizations across EMEA
• Build and manage a regional field marketing budget with strong financial discipline and ROI focus
• Drive continuous improvement through post-program analysis, stakeholder feedback, and data-driven optimization

You may be a good fit if you

• Have 10+ years of B2B enterprise marketing experience with blended expertise in field marketing, account-based marketing, demand generation in EMEA markets
• Demonstrate deep understanding of B2B enterprise sales cycles and buying processes - experience working within software companies is required for this position
• Have a track record of successfully building and scaling field marketing and demand generation programs from the ground up
• Have strong analytical skills and data-driven approach to program optimization and attribution
• Have demonstrated success in contributing to significant revenue goals through integrated marketing initiatives
• Possess international marketing experience and understanding of regional market dynamics across European markets
• Are a proven self-starter who can build and run sophisticated programs with small teams in fast-paced startup environments
• Have strong project management skills with experience managing complex, multi-country programs simultaneously
• Possess exceptional budgeting and financial management capabilities with experience managing substantial field marketing budgets
• Demonstrate cultural awareness and ability to adapt strategies for diverse European markets
• Excel at cross-functional collaboration, particularly with sales teams and executive stakeholders
• Are comfortable with ambiguity and thrive in fast-paced, evolving environments with a bias for thoughtful action

Strong candidates may also

• Have experience marketing AI/ML or complex technical products to enterprise customers
• Have experience building and leading demand generation teams in EMEA
• Have knowledge of account-based marketing (ABM) strategies and execution
• Have experience at high-growth technology companies such as Okta, Splunk, Snowflake, or Workday
• Have previous experience as a first field marketing hire in a new region
• Have fluency in multiple European languages
• Have understanding of EMEA regulatory and compliance requirements for marketing activities
• Have experience evaluating and activating at premium third-party events strategically, including hospitality management at high-end venues and cultural experiences

Travel requirements

Role-specific policy: For this role, we expect all staff to be able to work from our London office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. This role also requires approximately 40-50% travel within EMEA for field programs, customer engagements, events, and stakeholder meetings, with additional travel to Anthropic offices for alignment and planning sessions.

Deadline to apply: None. Applications will be reviewed on a rolling basis, starting in the new year. 

About Us 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). Mediabrands manages approximately $40 billion in marketing investment globally on behalf of its clients and provides strategic services and solutions across its award-winning, full-service agency networks UM, Initiative and Mediahub and through its innovative marketing specialist companies Kinesso, Magna, Orion, Rapport and Mediabrands Content Studio. Mediabrands clients include many of the world’s most recognisable and iconic brands from a broad portfolio of industry sectors. The company employs more than 13,000 marketing experts in more than 130 countries, representing the full diversity of humanity. For more information, please visit our website: www.ipgmediabrands.com.

Position Summary 

Reporting to the Group Director of the Data Management and Visualisation EMEA specialism, the Associate Director will be leading data visualisation and best practice in data. This role will involve working closely with some of the most advanced data-driven companies in the region to develop bespoke reporting solutions for premium brands. 

Key Responsibilities 

• Managing day to day relationships, meetings and communication with clients 

• Project Management: manage client expectations and maintain task backlogs and ensure issues are resolved within agreed service levels with clients satisfied 

• Maintain strong relationships with stakeholders, including AdOps, activation and business leadership teams. 

• Manage the development and delivery of intuitive and visually appealing dashboards to provide key insights based on stakeholder requirements. 

• Be a technical point of contact for end users and provide detailed process documentation. 

• Support ongoing product development, identifying market and business needs and innovative ideas to add to the backlog. 

• Develop and automate ETL and QA processes and scripts. 

• Mentor Analytics Manager and Data Analysts, onshore and offshore. 

Desired Skills & Experience 

• You have extensive experience building and automating data & analytics solutions using a variety of modern ETL and BI technologies (Snowflake, PowerBI and/or Tableau, Alteryx, Python or similar). 

• You are highly adept at project management and experienced at working with stakeholders to collect requirements and translate these into project plans. 

• You have a strong understanding of the AdTech / Martech data landscape and the common tools used to manage marketing intelligence. 

• You are able to clearly communicate insights and strategic recommendations to business owners and leadership. 

• Expert PowerBI user an advantage, but not essential. 

• Expert Python coder an advantage, but not essential. 

Are you excited by the power of data and the potential it holds to solve business problems? Do you want to help world class brands use marketing and customer data to drive revenue growth and better customer experiences? Are you ready to stand in front of clients and help guide them through the jungle of cloud computing, insights, advanced analytics, and AI? Join our team as a Data Strategy Consultant and help our clients transform their marketing data capabilities to deliver tangible business impact! 

What will your day look like?

As our new Data Strategy Consultant, you will join our growing team of CRM & marketing data experts. Here, you will help our clients collect, analyse and activate 1st-party and 3rd-party data at scale to create impactful customer experiences that drive measurable business results.  You will help to propose, design and deliver solutions that support customer insights, audience activation, personalization and measurement of marketing performance. 

More specifically, your tasks will include:   

Customer Data & Audience Strategy 

• Convert business and marketing objectives into actionable audience strategies and frameworks at both global and local levels. 

• Establish reusable audience taxonomies, segmentation logic, and eligibility requirements. 

• Identify necessary data elements and align them with existing platforms such as DWH and Martech 

Experimentation & Measurement Frameworks 

• Develop standardized methodologies for holdouts, control groups, test design, and KPI definition, including incrementality and consent value. 

• Create reusable templates for test briefs and result reporting. 

• Collaborate with analytics and operations teams to execute initial tests and implement a scalable experiment model. 

Technology & Data Architecture Enablement 

• Translate marketing requirements into solution patterns for critical use cases for activation and measurement and help create clear specifications for tech and data specialists. 

• Partner with platform and data teams to assess feasibility and prioritize development initiatives. 

• Support the transformation of custom solutions into scalable, reusable patterns for clients and markets.   

Who are you going to work with?

You will be working closely in projects with a lot of different people with different professions, both inside and outside of VML MAP. You will be part of a group of experienced Data Strategy and Data Solution Consultants and will work closely with colleagues from the other groups in our consulting practice. We strive to have an open collaboration model to optimally utilize our total skillsets.  

You will also work closely with our Tech and Data specialists, and Client Engagement leads to deliver client projects, and you will work directly with our clients, i.e., key stakeholders in the data, marketing and IT organizations of large global companies. You will also have the opportunity to engage with our data and technology partners, such as Salesforce, Adobe, Braze, Google, and Snowflake. 

Together, we help our clients put in place data solutions that drive business value in a collaborative work environment with a focus on both professional expertise and having fun on the way. 

What do you bring to the table?

You might have a data and technology background and grew into a consulting role, or maybe you come from a business background and built a strong understanding of data solutions. Nevertheless, it is important that you have strong core consulting skills as well data experience and expertise. 

Consulting skills 

• Strong communication and presentation skills, i.e., the ability to clearly communicate complex topics to stakeholders at all levels of the organization. 

• Structured problem-solving skills, i.e., the ability to identify and analyze complex problems and develop practical solutions.  

• Business acumen, i.e., an understanding of how businesses work and how they create value.  

• The ability to build trust and strong working relationships with clients, partners and colleagues. 

Data experience and expertise 

• You have a degree in data science, digital marketing, computer science or similar fields of study. 

• You are considered an expert in marketing data solutions with deep expertise in marketing measurement, customer data, and other data solutions. 

• You have experience with analyzing business needs, designing, scoping, and delivering data solution projects and services in large organizations. 

• Experience with collaborating with and communicating to technical and business audiences alike.  

Mindset 

As a person, you are collaborative and love being part of interdisciplinary projects and solutions.  You are comfortable with the complexity of high-tech dialogues and solutions.  Furthermore, you have the drive, enthusiasm and technical skills to take lead when facing the client in data and insights related matters. Through this, you strive to help and inspire the client to grow their business by combining data insights, performance analytics, and data engineering. It’s an advantage if you have agency experience and marketing domain knowledge, but it’s not a requirement.   

In addition, you have:   

•  3-5 years in a data consultant role with clients related to marketing data, predictive analytics, BI and reporting solutions. 

• An infectious curiosity around data applications for CRM and customer insight development, AI use cases and continuous innovation. 

• Comfortable with hands-on work in technology platforms such as Salesforce Marketing Cloud and Data Cloud, Adobe Experience Cloud, Braze, etc. 

• Hands-on experience working with cloud data platforms, ETL and reporting, data analysis through R, Python or other similar toolsets. 

• Experience with database and data model design for business intelligence and analytics solutions is an advantage. 

• Familiarity with multi-touch attribution approaches and techniques involving a range of paid and owned channels is an advantage.  

• Experience with Google Insights/Google Analytics, Google Cloud Platform/BigQuery, Adobe Analytics and Salesforce is an advantage. 

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

About the Customer Success Team

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value. You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer’s organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

As a Customer Success Architect, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics. For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities

• Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes
• Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
• Own the customer’s success with Mixpanel — documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
• Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration
• Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
• Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
• Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
• Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues
• Bridge the technical-business gap with your customers — working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision
• Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
• Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

• Experience consulting on defining and delivering ROI through new tool implementations
• Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
• The ability to communicate with stakeholders at most levels of an organization — from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency
• Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
• Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
• Excellent written, analytical, and communication skills
• Strong process and/or project delivery discipline
• Eager to learn new technologies and adapt to evolving customer needs

Bonus Points For

• Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
• Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
• Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
• Familiar with analytics best practices across business segments and verticals
• Fluency in additional languages

#LI-Hybrid