Senior Fullstack Engineer - Data Platform

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 Spotify as a Senior Fullstack Engineer on our Commerce Platform team, where you'll play a critical role in shaping the future of our commerce solutions. You will collaborate with cross-functional teams to design, develop, and implement robust features that enhance user experience for millions. Your expertise will drive innovation and help us maintain our position as a leader in the music streaming industry.

Join Wayve as a Senior Fullstack Engineer focusing on data enrichment. In this pivotal role, you will collaborate with cross-functional teams to design, develop, and implement innovative solutions that enhance our data processing capabilities.You will leverage your expertise in both frontend and backend technologies to build robust applications while ensuring the highest standards of performance and security. Your contributions will directly impact the efficiency and effectiveness of our data-driven initiatives.

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.

Founded in 2018, Causaly is at the forefront of transforming enterprise-scale scientific research through our innovative AI platform. Our technology empowers researchers to efficiently discover, visualize, and interpret biomedical knowledge, streamlining critical research workflows to tackle some of the most pressing health challenges of our time.We partner with leading biopharma companies and institutions, focusing on diverse use cases including Drug Discovery, Safety, and Competitive Intelligence. Visit our blog to learn how we enhance knowledge acquisition and decision-making: Blog - CausalyCausaly is proudly backed by renowned venture capital firms, including ICONIQ, Index Ventures, Pentech, and Marathon.

Join Vanta as a Senior Fullstack Software Engineer specializing in Privacy & Data Security. In this role, you'll leverage your extensive experience in software development to enhance our platform's privacy features while ensuring data integrity and security. You will collaborate closely with cross-functional teams to design, develop, and implement robust solutions that protect user data.

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.

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.

Role Overview Legal & General is looking for a Senior Fullstack Software Engineer to help shape the future of our retirement services. This role focuses on designing and building software that supports and improves our products for customers in retirement. What You Will Do Develop and maintain software solutions across the stack to support retirement services Work closely with teams from different disciplines to deliver new features and improvements Contribute to technical decisions that raise the bar for quality and performance Focus on delivering reliable, maintainable code that enhances user experience Location This position 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.

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 Our Team at CapiCapi is revolutionizing the way businesses in emerging markets manage their international supplier payments—making it simple, swift, and equitable.With over $18M in support from leading investors including Creandum, Y Combinator, General Catalyst, and influential figures from Revolut, Checkout, Stripe, and Remitly, we are dedicated to establishing the robust financial infrastructure that emerging markets truly deserve.Our commitment to facilitating global trade empowers local enterprises to accelerate growth, create job opportunities, and enhance prosperity in their communities.Our mission is to uplift GDP in emerging markets by fostering a more equitable and accessible global financial system. We aim to streamline the payment processes for importers, enabling businesses to expand swiftly and act as catalysts for national prosperity.Our dynamic team of approximately 80 individuals, spread across 10 countries, embodies ambition and a results-driven mindset, striving to make a meaningful impact in the world. We are eager to welcome new talent to our team!Explore Capi's mission & values.Role OverviewAs a Senior Fullstack Engineer, you will be part of a compact, high-performing team of engineers and product leaders responsible for scaling our platform and amplifying our impact.From day one, you will collaborate closely with our founding team based in London and Paris, influencing the product vision and shaping the technical architecture of our solutions. This role is pivotal in developing technology that addresses customer challenges as we grow our offerings and enhance our footprint in emerging markets.Empathy and curiosity are essential to uncovering the root causes of problems, along with the creativity to devise solutions that harmonize impact, effort, and user satisfaction.Key ResponsibilitiesEngage in the product lifecycle from conception through to UI design, backend logic, deployment, feedback gathering, and performance measurement.Communicate effectively both internally and externally regarding new features, gathering feedback prior to implementation and articulating them upon launch.Determine and oversee delivery milestones, ensuring alignment between engineering and product priorities.

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

About the RoleJoin our dynamic Collection Engineering team as a Senior Fullstack Engineer, where you will play a pivotal role in enhancing Elliptic's efforts to combat crypto crime. You will be instrumental in developing a robust platform that empowers our intelligence organization to efficiently gather and analyze critical information, making the world safer.Your team’s mission is to amplify Elliptic’s intelligence collection capabilities by processing data from diverse sources, including external feeds, internal automation, and client submissions. This intel needs to be systematically classified, stored, and reviewed before being integrated into our proprietary graph database.Collaborate with a talented group of engineers and data scientists to create innovative tools, streamline processes, and eliminate obstacles in our intelligence pipelines.Key ResponsibilitiesDesign and implement software solutions that enhance our intelligence collection and analysis capabilities, including services on Kubernetes and browser extensions.Develop applications to analyze cryptocurrency behavior and trends across both the clear and dark web.Establish observability mechanisms to identify issues within your environments and execute necessary business processes for resolution.Mentor and coach fellow engineers to foster growth and implement best practices within the team.Actively contribute to defining and refining the engineering strategy for your team.Ideal Candidate ProfileDemonstrates a strong passion for cryptocurrencies and blockchains from both technical and economic perspectives.Possesses excellent coding skills in Typescript with a proven track record of delivering effective solutions.Has successfully integrated various systems to improve operational efficiency.Enjoys collaborating within a tight-knit team to tackle impactful challenges, contributing to a safer crypto ecosystem.Promotes a collaborative culture characterized by open communication, especially when addressing issues or concerns.Able to construct well-reasoned, data-driven arguments to influence key stakeholders effectively.

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.

About Gigs Gigs builds a platform that lets tech companies add global mobile connectivity to their products. The goal: make integrating telecom as simple as integrating payments. By automating provisioning and removing telecom hurdles, Gigs helps businesses from fintechs to HR platforms offer mobile services without the usual complexity. The team numbers around 100 people, spread across the US and Europe. Gigs has raised close to $100 million from investors including Ribbit Capital, Google, and Y Combinator. The company brings together engineers and product leaders from places like Stripe, Airbnb, and Shopify, all focused on solving technical and regulatory challenges in telecommunications. Curiosity, creativity, and a drive to shape the future of telecom matter here. Gigs welcomes people who want to tackle tough problems and make an impact. Core Values Speed: Move quickly and deliver. Ambitious deadlines are the norm, and each week counts. Ownership: Spot a problem? Step up and fix it without waiting for approval. Customer Obsession: The success of customers is central to every decision. Ambiguity: Work often involves making decisions with incomplete information. Judgment and instinct matter. First Principles: Question assumptions and dig into the reasons behind how things are done. Role Overview: Senior Platform Engineer (London) This role sits at the heart of Gigs’ technical operations. Senior Platform Engineers design, build, and maintain the infrastructure and developer tools that power the company’s connectivity and payments platform. The work enables product teams to ship faster and more reliably, supporting growth at scale. The Foundation team owns the core systems every Gigs engineer depends on: CI/CD pipelines, cloud infrastructure, observability, deployment tools, and shared platform services. Taking on complex infrastructure challenges is a key part of the job, with a focus on keeping systems efficient and dependable.

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.

Dataiku is at the forefront of AI innovation, providing an enterprise platform that facilitates the effective building, deployment, and governance of AI solutions. Our unified environment empowers teams to design and operate analytics, machine learning, and AI agents while ensuring transparency, collaboration, and control across the organization. With the ability to integrate seamlessly with data platforms, cloud infrastructure, and AI services, Dataiku connects the entire AI ecosystem, enabling organizations to leverage AI across multi-vendor environments with centralized governance.The world’s top companies trust Dataiku to operationalize AI, transforming it into a driving force for business performance and delivering tangible value. To learn more, visit the Dataiku blog, LinkedIn, X, and YouTube.Why Engineering at Dataiku?At Dataiku, we are committed to integrating cutting-edge data science technologies within our on-premise, cloud, or SaaS-deployed platform. Our technology stack showcases our dedication to quality and innovation. By incorporating the finest data and AI technologies, we select tools that genuinely enhance our product offerings. From the latest LLMs to our commitment to open-source communities, you will have the opportunity to work with a diverse range of technologies and contribute to the collective knowledge of global tech innovators. For more insights on engineering at Dataiku, click here.Explore our offerings: Dataiku's Key Capabilities; Dataiku's Github; and our Gallery, which showcases example projects (please note that editing is limited and will be reset regularly).Our flagship product, Dataiku DSS (Data Science Studio), is designed to streamline your data science workflow. To see it in action, check out our demo here.