Senior Data Platform Engineer - Computer System Validator

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 on…

Hypersonica develops defense technology in Europe, focusing on speed, resilience, and independence. The company tackles complex technical problems that influence the future direction of the industry. Role overview The Senior Verification and Validation Systems Engineer position is based in London and supports a core business priority. This role requires deep technical knowledge, independent problem-solving, and sound decision-making. Senior engineers at Hypersonica have a direct influence on both project outcomes and the company’s overall progress. What sets this role apart Contributes directly to European technological sovereignty and defense capability Offers the chance to shape responsibilities based on individual strengths and insights Collaboration with a small, highly skilled team Requirements Significant experience in systems engineering, verification, or validation Proven ability to work independently and deliver results with minimal supervision Track record of achieving ambitious or unconventional goals Hypersonica values expertise and unique viewpoints more than formal titles. The scope of this position will adapt as the engineer brings their own skills and ideas to the team.

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

At Fastly, we are dedicated to enhancing connectivity to the digital experiences that matter most to our users. Our cutting-edge edge cloud platform empowers our clients to rapidly and securely deliver exceptional digital solutions by processing, serving, and securing applications close to their end-users — right at the edge of the Internet. Built to leverage the modern internet, our platform is highly programmable and supports agile software development, serving a roster of prestigious clients such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: 24 March, 2026Anticipated Posting Close Date*: 20 April, 2026*Job posting may close early due to the volume of applicants.Staff Software Engineer, Compute PlatformOur team is responsible for developing the Compute platform at Fastly — an advanced serverless solution built on open standards operating on our extensive global edge network. This platform meets the demands of modern application development, enabling customers to execute code in a secure environment with microsecond cold start times, at scale, right on the edge.We are seeking a talented Staff Software Engineer to join our dynamic team and help enhance our hosting infrastructure. This role will encompass essential networking and systems-level tasks, as well as cross-team collaboration and the design of high-quality APIs for our customers to leverage services developed by other teams. You will also have the opportunity to contribute to influential open-source projects (such as Wasmtime) that play a pivotal role in our Compute vision.What You'll Do:Facilitate seamless communication and coordination among team members and across various technical and product teams.Engage in code reviews to enhance the codebase and improve team processes.Lead projects from a technical standpoint, driving progress and keeping stakeholders informed on project status.Develop platform-level code in Rust that addresses host concerns such as back pressure, resource limits, and service interactions.Investigate and resolve performance and stability challenges to meet stringent scalability requirements.Take ownership of a large-scale production system characterized by exceptional performance and availability needs.

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 Longshot Systems, a pioneering company dedicated to developing cutting-edge platforms for sports betting analytics and trading.We are in search of a Senior Software Engineer to become a vital member of our trading platform team. As a small but highly focused organization, we seek an individual who can effectively architect and implement solutions to achieve our upcoming product, performance, and stability objectives. This role involves ownership of our technical standards, coding guidelines, CI/CD processes, observability, and security measures. If you are passionate about delivering features and enhancing the overall technical excellence of our team and platform, we want to hear from you.Our trading platform is responsible for integrating with numerous bookmakers and exchanges globally, normalizing and consolidating global odds data across various sports for internal trading strategies. We manage thousands of odds updates and trades per second, maintaining stringent standards for latency, correctness, and feed quality. You will be at the forefront, integrating additional trading venues, optimizing key platform components, and enhancing the safety and speed of trading. Our team also oversees a large historical data repository, supporting the company's broader trading and research initiatives.Our key platform systems are primarily built using Golang, featuring message buses and databases at the core of our architecture. While fluency in Golang is advantageous, it's not a prerequisite, as we have a team full of experts ready to assist you in learning.We embrace a hybrid work model, with Thursdays in our London office (Farringdon) and flexible arrangements for the rest of the week. Our standard working hours are 10 AM to 6 PM UK time, Monday through Friday, with support for flexible schedules to help our team achieve their objectives.

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.

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.

About the TeamAt OpenAI, our Platform Systems team is at the forefront of innovation, merging advanced AI technologies with large-scale distributed systems. We create the engineering and research infrastructure essential for training OpenAI’s premier models on some of the world's most powerful, custom-designed supercomputers.Our dedicated team develops critical model training software, delving deep into the technical stack to enhance collective communication, optimize compute efficiency, refine parallelism strategies, and improve fault tolerance, failure detection, and observability. The systems we engineer are pivotal to accelerating OpenAI’s research, ensuring reliable and efficient training at the cutting edge of technology.We foster close collaboration with researchers throughout the organization, consistently integrating insights from across OpenAI to advance our training platform.About the RoleAs a Software Engineer specializing in Platform Systems, you will architect and develop distributed systems that enhance visibility into large-scale training workloads, ensuring their reliable operation at scale.Your responsibilities will include engineering failure detection, tracing, and observability systems to identify suboptimal or malfunctioning nodes, revealing performance bottlenecks, and enabling engineers to optimize extensive distributed training jobs. This infrastructure is vital for the functionality of OpenAI’s training stack and is continuously evolving to accommodate new use cases and increasingly intricate workloads.This position is central to our training infrastructure, merging systems engineering, performance analysis, and large-scale debugging.In This Role, You WillDesign and implement distributed systems for failure detection, tracing, and profiling large-scale AI training tasks.Create tools to detect slow, faulty, or erratic nodes, providing actionable insights into system performance.Enhance observability, reliability, and performance across OpenAI’s training framework.Diagnose and resolve challenges in complex, high-throughput distributed environments.Collaborate with systems, infrastructure, and research teams to elevate platform capabilities.Adapt and extend failure detection and tracing systems in support of new training methodologies and workloads.You Might Thrive in This Role If YouPossess a strong passion for performance, stability, and observability in distributed systems.Have experience with large-scale systems and are excited to tackle complex challenges in AI infrastructure.

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.

At Longshot Systems, we develop cutting-edge platforms for sports betting analytics and trading.We are currently seeking experienced Machine Learning Engineers to join our modeling engineering team. In this role, you will collaborate closely with our quantitative research teams to transform prototype trading models into robust, production-ready systems. You will be responsible for designing and building the tooling, frameworks, and data engineering necessary to support strategy research and development, while also architecting high-level designs of the strategy software to minimize trading latency and ensure scalability. Our ML stack is primarily Python-based, incorporating modern ML libraries and tools such as Polars, Ray, and Plotly.The ideal candidate will possess a solid software engineering background, with extensive experience in high-performance computing topics such as multi-threading, networking, profiling, and optimization. Proficiency with the NumPy/SciPy stack is essential, along with experience in performance optimization tools like C++ and Numba. Familiarity with common ML algorithms and techniques is advantageous but not mandatory.As a hybrid working company, we require team members to work in our London (Farringdon) office on Thursdays, while offering flexibility for remote work on other days. Our standard working hours are from 10 am to 6 pm UK time, Monday to Friday, but we encourage flexible schedules to help our team meet their objectives.Interview Process:Introductory Call (30 mins) - Discuss your background and interestsFirst Technical Interview (30 mins) - Live code review and pair programmingSecond Technical Interview (60 mins) - In-depth technical questionsFull Assessment Day (10:30 am to 5 pm) - A programming exercise reflective of actual team tasks

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.