Engineering Manager – Data Platform

Recursion Pharmaceuticals brings together technology and biology to advance drug discovery. The company’s Recursion Operating System combines machine learning, large-scale experiments, and a proprietary dataset that spans biological, chemical, and patient-related data. Each week, the team conducts millions of wet lab experiments and uses a supercomputing env…

Checkout.com supports online payments for major brands including eBay, ASOS, Klarna, Uber Eats, and Sony, processing billions of transactions every year. With a presence in 19 offices across six continents and headquarters in London, the company emphasizes high performance, continuous improvement, and innovation. Employees contribute directly to shaping the future of fintech. Role overview The Senior Engineering Manager - Data Platform leads the Data and AI Platform Team. This group provides the systems and tools that enable products, merchants, and internal teams to make effective use of data and AI. The goal is to maximize time spent on innovation and solving business problems, while reducing the complexity of technical implementation, deployment, and monitoring. As Checkout.com grows, the Data Platform must scale to support hundreds of teams and manage petabyte-scale data volumes. What you will do Guide the team in designing technical architecture and building user-focused systems and tools. Oversee technical delivery and operational reliability, driving process automation and maintaining high engineering standards. Ensure service levels (SLAs/SLOs) are met with minimal manual intervention. Manage a team of Junior and Senior Data Engineers, providing hands-on support when needed. Foster an inclusive culture and mentor team members in both technical and interpersonal development. Lead quarterly execution of roadmap deliverables, ensuring alignment with business objectives. Location This position is based in London.

Join Spotify as a Senior Android Engineer within our innovative Data Platform team. In this role, you will leverage your extensive Android development experience to enhance our data services and deliver optimal user experiences. You will collaborate with cross-functional teams, including product managers and data scientists, to design and implement robust solutions that support our growing user base.

Join Spotify as a Senior Fullstack Engineer and play a pivotal role in developing our innovative Data Platform. You will collaborate with cross-functional teams to design and implement robust solutions that enhance our data processing capabilities. This is an exciting opportunity to work with cutting-edge technologies in a dynamic environment.

Join Storio Group as an Engineering ManagerRole Overview:We are on the lookout for a skilled Engineering Manager specializing in Data to lead our dynamic London-based data team. Your primary focus will be to develop and enhance a platform that fosters a decentralized data adoption model throughout our organization.At Storio, we prioritize delivering reliable and actionable data that fulfills business requirements. We’re eager for you to build and manage a high-performing team dedicated to this objective. If you have a background in software engineering management with a focus on data, we would love to hear from you!Our data and AI team is expanding across the UK and the Netherlands, serving as the backbone for various data-driven consumers and platforms within Marketing, Finance, Operations, and Product teams.Our AI photo services are pivotal to enhancing customer experience, and we are broadening our efforts towards decentralized machine learning adoption within the business. Following a series of mergers, our team has unified and is transitioning from a phase of simplifying legacy systems to a stage of consolidation and growth.Our Technology Stack:• Cloud Data Warehouse - Snowflake• AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda• Data Governance & Quality - Collate & Monte Carlo• Infrastructure as Code - Terraform• Data Integration & Transformation - Python, DBT, Fivetran, Airflow• CI/CD - Github Actions / Jenkins

Role overview As a Staff Engineer on the Data Platform team at yuno in London, the focus is on designing and developing scalable data solutions. These systems help internal teams operate more efficiently and contribute to product improvements across the company. This position involves hands-on work with technical architecture, providing the chance to influence how data systems are built and maintained. Projects in this role are closely tied to business goals, with a direct impact on yuno’s progress. Key responsibilities Build and maintain scalable data platforms to support internal stakeholders Contribute to the design and evolution of technical architecture Work on projects that drive product and business growth Location This role is based in London.

Join our dynamic Data Processing Product Area at Spotify, where we create innovative platforms and tools that transform the way we process, manage, and leverage data on a massive scale. Our team empowers various departments within Spotify to tackle intricate data challenges with assurance. We emphasize enhancing efficiency, quality, and innovation, enabling engineers and data professionals to accelerate their work while ensuring reliability and cost-effectiveness.

Role Overview Spotify is looking for a Backend Engineer to join the Data Platform team in London. This position focuses on building and improving the backend systems that power Spotify’s data processing and analytics. The work supports a seamless experience for millions of listeners around the globe. What You Will Do Develop and maintain scalable backend systems for data processing and analytics. Work closely with cross-functional teams to optimize Spotify’s data infrastructure. Help ensure high availability and strong performance across backend services. About the Team The engineering team at Spotify values collaboration and technical excellence. The Data Platform group plays a key role in supporting the company’s ability to deliver music and insights at scale.

Role overview Wise is hiring a Data Platform Engineer focused on the Database Platform, working primarily with Python. This role centers on improving data processes, maintaining strong performance, and supporting scalable solutions. The work involves close collaboration with teams across the business to deliver reliable and efficient data systems. What you will do Optimize and streamline data workflows for better performance and scalability Work with cross-functional teams to implement effective data solutions Contribute technical expertise to improve Wise’s data architecture Location This position is based in London.

Recursion Pharmaceuticals is a clinical-stage TechBio company working to transform drug discovery by combining technology, biology, chemistry, and patient data. The Recursion Operating System (OS) integrates advanced technologies and machine learning to analyze a large proprietary dataset, supporting millions of wet lab experiments each week and operating one of the world’s most powerful supercomputers. Role overview The Senior Data Platform Engineer - Computer System Validator will design, scale, and manage a validated data platform that handles petabyte-scale data. This platform must meet GxP standards for clinical data and enable teams to explore and query a wide range of information, including a chemistry library with billions of compounds, cellular microscopy images, and millions of assay results. Key responsibilities Develop and maintain a data platform that supports large-scale clinical and research data, ensuring compliance with GxP standards. Implement automated audit trails and data lineage according to 21 CFR Part 11, making the clinical data lake suitable for regulatory requirements and enabling efficient data queries. Collaborate with biologists, chemists, and data scientists to improve dataset usability and address future research needs. Mentor and support colleagues across teams, sharing expertise to foster growth and learning. The team This role is part of the Data Lake team, which is responsible for developing and maintaining Recursion’s Data Lake and Data House. The team manages both relational and object storage, guided by the belief that all data should lead to insights. Location This position is based in London, England.

Your ImpactAs a Senior Platform Engineer at DISCO, you will lead significant projects and play a pivotal role in the success of our engineering teams. Your expertise will inform long-term strategic planning, mentorship for senior engineers, and steer technical decisions across various teams or departments. Your focus will be on system design, implementation, and the ongoing maintenance and enhancement of DISCO’s distributed data platform.What You'll DoTechnical Leadership and Mentorship: Assume a leadership role in project teams, guiding engineers and influencing technical decisions, while innovating and solving complex organizational challenges.Performance Optimization: Design systems that emphasize high performance, scalability, and reliability.Ownership: Proactively identify and address potential issues within products and systems, creating actionable plans for resolution.Stakeholder Engagement: Collaborate closely with stakeholders including product managers, designers, developers, and executives to ensure architectural designs align with business needs and customer expectations.Software Development: Develop, maintain, and enhance sophisticated, scalable, high-performance data software solutions tailored for our big data platform at a petabyte scale, ensuring architectural excellence.Code Quality and Optimization: Commit to and enhance code quality through thorough review processes, optimization techniques, and adherence to industry best practices.Technical Problem Solving: Tackle intricate technical challenges with innovative problem-solving approaches.Collaboration and Communication: Work effectively within the engineering team and cross-functional teams, fostering collaboration with engineers, product managers, and stakeholders during project planning and execution.Continuous Learning and Adaptation: Stay abreast of the latest technological trends and advancements, continuously improving your skills and knowledge to contribute innovative ideas to the team.Technical Documentation: Generate and maintain comprehensive technical documentation to ensure clarity and accessibility of information.Data Platform Development: Construct and sustain robust and scalable data platforms to facilitate analytics, machine learning, and business intelligence.Data Integration and ETL: Design and optimize ETL (Extract, Transform, Load) processes, ensuring efficient data integration.

Job Title: Engineering Manager - Data Platform & Analytics Engineering Location: London, Bristol or Edinburgh (Hybrid options available) Salary: £92,800 - £115,000 Reporting to: Head of Data Science & Products Eligibility: Must have the right to work in the UK; visa sponsorship is currently not available. Kaluza is at the forefront of reshaping the energy landscape through our Energy Intelligence Platform. We empower energy companies to navigate the complexities of modern energy demands while driving the transition to a sustainable, electrified future. Utilizing cutting-edge Data, AI technologies, and real-time decision-making, we convert energy challenges into growth opportunities for our partners. Our innovative approach combines predictive algorithms with user-centric design, ensuring that clean energy remains reliable and affordable. With a diverse team spanning Europe, North America, Asia, and Australia, and a strategic partnership with Mitsubishi Corporation in Japan, we are proud to support industry leaders such as OVO, AGL, and ENGIE, along with pioneering companies like Volvo and Volkswagen. Join the Kaluza Data Community: Data is pivotal to our mission, and we seek curious minds who can transform data into actionable insights and strategies. You will be instrumental in enhancing the Kaluza platform, a pioneering technology designed to revolutionize energy retail operations globally, with a focus on regional adaptability and decarbonization efforts.

Role overview Wise is looking for a Senior Data Platform Engineer I to help shape and improve the database platform. This position focuses on building and supporting data infrastructure, with Python as a core tool. The engineer will help ensure the platform is reliable and ready for new solutions.

About the Role Storio Group is building a Strategic Data Platform to strengthen existing systems and support the company’s long-term vision. The platform will play a central role in digital experiences, pricing, and the shift toward a fully data-driven business by 2030. As Senior Product Manager for Data Platform, this role sits within the Data and AI domain and shapes the direction of Storio Group’s data infrastructure. What You Will Do Define and maintain the strategic roadmap for the Data Platform, aligning with company goals. Work closely with engineering teams and stakeholders to deliver data solutions that create commercial value. Translate business needs into product initiatives that support informed decision-making across the organization. Influence strategy beyond day-to-day backlog management, helping establish a strong product culture within the Data and AI domain. Foster collaboration and encourage a shared vision for data-driven transformation at Storio Group. Location This position is based in London, UK.

Join Relay in Revolutionizing Logistics!At Relay, we are fundamentally transforming the way goods are transported in the digital age. With the backing of Europe’s largest logistics Series A funding ($35M) from visionary investors like Plural—whose portfolio ranges from fusion energy to space exploration—we are growing at an unprecedented pace, surpassing 99.98% of venture-backed startups. We are building an exceptionally talented team that is setting new benchmarks in the logistics sector.Our Mission is to eliminate barriers to commerce. Currently, high delivery costs function as a hidden tax on e-commerce, dictating what can be sold online and who can engage in this space. We aspire to create a world where goods move freely among people, ensuring a seamless and accessible online shopping experience for all.The Team• A dynamic team of approximately 110 individuals, over half of whom are in engineering, product, and data roles.• Home to 45+ advanced degrees in fields such as computer science, mathematics, and operations research.• Handling thousands of data points for each parcel we manage, with extensive calculations, analyses, and predictions.• A culture that thrives on first-principles thinking, rapid feedback loops, and relentless experimentation.Your OpportunityAt Relay, our network generates data at every interaction—couriers, routes, parcels, sortation, pricing, and demand signals. This data serves as the foundation for every decision we make, especially as we increasingly integrate AI systems for autonomous decision-making.As the Head of Data Platform, you will oversee the infrastructure that transforms raw data into actionable insights. This includes managing the transformation layer (dbt), the semantic layer (Cube), the pipelines that supply them, and the standards that ensure the output is reliable. You will be tasked with ensuring data readiness for human analysts, dashboards, machine learning models, and autonomous agents.This is a pivotal leadership role where you will inherit a high-performing engine. The platform currently supports critical decision-making across all departments, backed by a robust dbt architecture and a semantic layer with strict naming conventions. Your mission is to elevate this 'V1' success into a world-class platform that remains the ultimate source of truth as our complexity scales.You will lead a team of dedicated data and analytics engineers who possess deep technical expertise and take great pride in their work. They are autonomous and have a clear vision of excellence. What they need is a leader who can...

About Caxton Associates:Founded in 1983, Caxton Associates is a premier global trading and investment firm, with a presence in key financial hubs including New York, London, Bengaluru, Monaco, Singapore, and Dubai. Our firm is dedicated to managing client and proprietary capital, offering a diverse range of products specifically tailored to meet the unique needs of our investors. By employing a multi-portfolio manager framework, we excel in discretionary global macro investing, leveraging extensive expertise across various asset classes and markets.About the Role:We are on the lookout for a skilled Database Engineer to enhance our London-based technology team. This hands-on position is pivotal in the design, development, and optimization of the company's core data platforms. You will be instrumental in shaping and scaling our data architecture, directly influencing trading and investment decisions. Candidates must possess strong technical skills, a keen eye for data quality, and the ability to thrive in a dynamic, high-stakes environment.

Join Us in Revolutionizing the Creator Economy with AIFanvue is a leading force in the rapidly evolving creator monetization landscape. Our AI-driven platform empowers creators to engage, connect, and earn directly from their audiences on a grand scale. Following our recent Series A funding, we have achieved over $100 million in annual recurring revenue, experiencing triple-digit growth year-over-year and supporting a vibrant community of hundreds of thousands of creators and millions of fans worldwide.As a Platform Engineer at Fanvue, your mission will be to streamline processes for our engineering teams. This role is pivotal in developing the infrastructure, tools, and foundational components that enable our product teams to deliver solutions swiftly, safely, and confidently at scale. Your ResponsibilitiesConstruct and uphold core platform infrastructure across diverse cloud environmentsEnhance CI/CD pipelines to facilitate rapid, secure, and consistent deploymentsDesign and implement observability, monitoring, and alert systems for platform servicesDevelop self-service tools and platform primitives that empower teams to operate independentlyCollaborate with product teams to assess infrastructure needs and eliminate obstaclesBoost reliability, scalability, and cost-effectiveness across core systemsManage incidents, perform post-incident analyses, and implement lasting solutionsContribute to the documentation, standards, and best practices for the platform Who You AreProven experience as a platform, infrastructure, or backend engineerProficient in working with cloud platforms and distributed systemsFamiliar with infrastructure as code, CI/CD systems, and monitoring toolsPossess a product-oriented mindset and a collaborative spirit

About UsYouLend is a dynamic and rapidly expanding FinTech company, recognized as the premier embedded financing platform for many leading e-commerce platforms, technology firms, and Payment Service Providers globally. Our innovative software platform empowers partners to enhance their value proposition by providing flexible financing products under their own branding to their merchant networks, all while mitigating capital risk.With backing from EQT, a top-tier Private Equity firm, we have achieved over 100% growth year-on-year since 2020. Headquartered in London, UK, we also operate across several European nations and the United States, serving notable partners including eBay, Amazon, Just Eat, Shopify, and Stripe.The RoleWe are looking for an experienced Senior Platform Engineer to join our Dev Enablement team. In this role, you will empower product engineers, enabling them to deliver high-quality code more swiftly and reliably. You will be responsible for building systems that enhance developer productivity, optimize CI/CD processes, and improve infrastructure efficiency, all while leading through technical excellence, collaboration, and mentorship.

CoreWeave is revolutionizing the landscape of AI with its cutting-edge cloud infrastructure. Designed by innovators for innovators, our platform empowers organizations to harness the power of artificial intelligence seamlessly. With a reputation for excellence, we support leading AI laboratories, startups, and multinational corporations by providing unparalleled infrastructure performance coupled with in-depth technical expertise. Since our inception in 2017, we have grown significantly, becoming a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. As a Living Wage accredited employer, we are committed to fair compensation for all our employees.What You’ll Do:Join the Monolith AI Platform Engineering Team at CoreWeave, where you will play a pivotal role in constructing and scaling the data and workflow infrastructure that drives the most sophisticated engineering simulations and AI workflows. Our goal is to establish the premier AI test laboratory for the engineering sector, assisting clients in accelerating their scientific endeavors. You will work on everything from high-throughput data ingestion to feature pipelines, model training, and real-time inference, providing a reliable and high-performance data foundation trusted by industry leaders.The Staff Data Engineer will be instrumental in evolving Monolith’s data services and ETL capabilities. This involves transforming disparate engineering data into production-ready training and inference pipelines. You will collaborate with Product, Engineering, and Customer-facing teams to understand client data challenges and translate these into scalable, user-friendly data platform features.About the Role:We are on the lookout for a Staff Data Engineer who can take charge of Monolith’s data platform, managing everything from offline batch pipelines and substantial historical backfills to low-latency, real-time streaming data flows that enable online inference and feedback mechanisms. You will be responsible for defining our data architecture, advocating for data quality and lineage, and determining how customer data is processed within Monolith from raw ingestion to observable, governed, and reproducible training sets.You will primarily engage with internal teams across product management, customer success, and engineering to drive data solutions that meet our clients' needs efficiently.