Senior Scientific Data Engineer - Data Platform

Recursion Pharmaceuticals is reimagining drug discovery by combining biology and data in new ways. The Senior Scientific Data Engineer - Data Platform will help shape and maintain the data infrastructure that drives this mission. This position is based in either London or Oxford. Role overview This role focuses on designing, developing, and maintaining scientific data systems that underpin Recursion’s research and product development. The emphasis is on data architecture rather than machine learning or model building. The work involves: Managing the ingestion, standardization, and distribution of public and proprietary datasets essential for drug discovery. Enabling competitor intelligence, chemical tractability analysis, and compound design workflows through well-structured data products. Owning and evolving the data infrastructure that supports predictive modeling and machine learning across the company. This position suits engineers who enjoy building complex scientific data systems. It is not a modeling or data science role. Key data systems and products Flagship SAR Data Mart: Integrates commercial and public bioactivity databases (such as ChEMBL) with internal assay results. Commercial Vendor Data Mart: Maintains a catalog of purchasable compounds for internal design tools and tractability assessments. Biomedical Knowledge Graph: Offers semantic graph infrastructure connecting targets, diseases, and compounds to support AI-driven research. Chemical Synthesis Data: Stores reaction datasets for training retrosynthesis models and predicting chemical tractability. Patent Intelligence System: Converts patent feeds and competitor data into actionable insights for research and strategy. Compound Standardization Registry: Maintains a large-scale chemical structure repository to ensure consistency across billions of compounds, similar to UniChem. Important note This is a specialized Data Engineering position focused on data infrastructure and stewardship. The work does not include training or building predictive models, but it directly supports those efforts through reliable systems and curated datasets.

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 environment to find new connections in biology and chemistry. What you will do Develop, scale, and manage the core data platform. This includes building, operating, and optimizing systems that support querying and exploration across Recursion’s vast datasets, such as a chemistry library with billions of compounds, petabytes of microscopy images, and diverse assay results. Help make complex datasets accessible for scientific teams. Work closely with biologists, chemists, and data scientists to ensure data from different biological models and treatments can be explored and queried, even for new and evolving research questions. Mentor and support colleagues by sharing technical expertise and experience, helping others grow and increasing impact across teams. The team This role joins the Data Lake team, responsible for building and maintaining Recursion’s Data Lake and Data Lakehouse. The group manages both relational and object storage, ensuring all data is discoverable, queryable, and connected. As Recursion grows, the team integrates new data types under the guiding principle that all data flows to the Data Lake. Location London, England; Milton Park, England

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.

yuno is looking for an Engineering Manager to join the Data Platform team in London. This position centers on strengthening the company’s data infrastructure, which is essential for collecting, managing, and using data across multiple products and teams. Role overview The Engineering Manager will oversee a group of engineers dedicated to the development and performance of yuno’s data platform. The work involves guiding the team through the design and implementation of data systems that are both scalable and reliable. What you will do Lead and support a team working on the data platform’s development and ongoing performance. Direct the design and rollout of data systems built for scale and reliability. Encourage a collaborative and creative team culture. Ensure delivery of data solutions that align with business goals. Location This role is based in London.

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

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.

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.

Role Overview Wise is looking for a Senior Engineering Team Lead focused on Data Platforms to join the London office. This role centers on guiding a skilled team of engineers and strengthening the company’s data infrastructure. The position offers the chance to shape how Wise manages and scales its data capabilities. What You Will Do Lead and support a team of engineers working on Wise’s data platform Create an environment where collaboration and knowledge sharing are standard practice Drive improvements in platform reliability and performance Champion engineering best practices and help the team adopt them Work closely with stakeholders to ensure the platform meets operational needs Location This position is based in London.

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.

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.

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.

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.

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...

Role overview hmgroup needs a Senior Data Engineer based in London to influence how data is used across the company. This position centers on building and maintaining systems that move and organize large amounts of data, helping teams make informed decisions. Main responsibilities Design and manage data pipelines that process significant data volumes Build architecture to ensure reliable data processing and analytics Convert raw data into insights that support teams throughout hmgroup

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.

Role overview Telefonica Tech seeks a Data Platform Architect based in London. The main focus of this position is to design data solutions that enable clients to better use and manage their information. This role involves collaborating with teams across various functions. The architect will help build data architectures that support growth, maintain reliable data integrity, and deliver strong performance. What you will do Design data platforms that align with client needs for information management Work with cross-functional teams to implement scalable solutions Ensure data integrity and system performance remain high as platforms grow Location This position is based in London.

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.

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.