Senior Engineering Team Lead - Data Platform

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.

About FreshaFresha stands as the premier marketplace platform for beauty and wellness, trusted by millions of consumers and businesses globally. Currently, over 130,000 businesses and more than 450,000 stylists and professionals leverage Fresha, having processed over 1 billion appointments to date.Headquartered in London, United Kingdom, Fresha operates 15 global offices throughout North America, EMEA, and APAC.Our platform empowers consumers to discover, book, and pay for beauty and wellness appointments with local businesses. At the same time, beauty and wellness professionals utilize our all-in-one platform to streamline their operations through intuitive business software and innovative financial technology solutions.Fresha’s ecosystem equips merchants with everything necessary to operate their business smoothly, including appointment bookings, point-of-sale systems, customer records management, marketing automation, loyalty programs, beauty product inventory management, and team oversight.Our consumer marketplace enhances revenue opportunities for partner businesses by harnessing the power of online bookings and automated marketing through mobile applications, alongside advanced integrations with major tech brands like Instagram, Facebook, and Google.Role OverviewAs Fresha embarks on its next phase of global expansion, the Platform Engineering team plays a crucial role in fostering rapid, secure, and sustainable growth.In the capacity of Platform Engineering Team Lead, you will bear responsibility for the team's performance and outcomes, ensuring consistent delivery, proactive communication, robust system architecture, and adherence to operational standards.In light of the swift advancement of AI and automation, this is an exceptional opportunity to redefine platform development and operations, minimizing manual effort, enhancing reliability, and empowering smarter, faster engineering decisions.You will contribute to Fresha’s growth by promoting infrastructure readiness, aligning platform strategies with business objectives, and applying AI where it can provide tangible operational advantages.We place a strong emphasis on customer impact, even within internal projects, as platform enhancements ultimately serve to enrich the customer experience.

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.

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.

Join 9fin as our Data Engineering LeadAt 9fin, we are revolutionizing the global debt markets with our cutting-edge AI platform, which oversees the largest asset class valued at over $145 trillion.Despite the vastness and critical importance of debt markets, they continue to operate on fragmented data sources, PDFs, and outdated manual processes. Our innovative platform consolidates proprietary credit data, in-depth analysis, and valuable workflows to streamline operations across the globe.Currently, 9fin supports over 300 esteemed institutions worldwide, including major banks, asset managers, private equity firms, law firms, and advisory services. We are experiencing rapid growth, particularly in the US, with exceptional retention rates driven by our deep workflow integration.We stand at a pivotal moment in our journey. With a proven product-market fit and increasing global demand, 9fin is on the fast track to becoming the leading platform for debt markets internationally.Your Role and ResponsibilitiesAs the Data Engineering Lead, you will be responsible for guiding the technical roadmap of our data platform, enhancing reliability, scalability, and engineering excellence. This is a dynamic hands-on role where you will both lead and mentor.Define the Data Platform Roadmap: Establish the technical direction and implement impactful improvements to our platform, focusing on reliability, cost-efficiency, developer experience, and scalability. You will prioritize and execute the strategic platform enhancements for the upcoming year.Develop Customer-Facing APIs & Feeds: Collaborate on the design and implementation of API-driven feeds and enrichment pipelines that evolve into product features and revenue opportunities.Enhance Orchestration in Dagster: Create and optimize asset-based pipelines, sensors, schedules, backfills, IO managers, and monitoring patterns that are resilient, idempotent, and user-friendly. Establish standard practices for incremental jobs, full refreshes, and reverse ETL.Streamline Data Ingestion: Refine and scale ingestion processes utilizing Airbyte OSS and DLT, addressing schema drift, connector health, rate limits, retries, checkpointing, and operational robustness to ensure seamless pipeline execution.Strengthen BigQuery Infrastructure: Lead the evolution of our best practices, partitioning & clustering strategies, slot/cost management, and query performance standards.Enhance Data Quality & Observability: Implement service-level objectives (SLOs) for data freshness, automated validation checks, data provenance, and proactive alerting to ensure reliability for the business and our clients.

Join our dynamic team at Octopus Energy as an Engineering Lead for our Analytics Platform. In this pivotal role, you will spearhead innovative engineering projects, guiding a talented team to enhance our analytics capabilities. Your expertise will drive the development of cutting-edge solutions that empower our data-driven decision-making processes.We are looking for a passionate leader who can inspire and mentor team members, ensuring the successful execution of engineering initiatives. You will collaborate closely with cross-functional teams to deliver robust and scalable analytics platforms that meet our business objectives.

About UsAt Perk, we are revolutionizing travel and spend management with our intelligent platform that streamlines tedious tasks like travel bookings, expense tracking, and invoice processing. By automating these processes, we free our clients from the burdens of shadow work, allowing them to focus on what truly matters—driving productivity and innovation.Serving over 10,000 companies worldwide, including industry leaders like Wise, On Running, Breitling, and Fabletics, we are committed to addressing the $1.7 trillion issue of lost productivity—averaging 7 hours per employee each week. Founded in 2015, Perk is a global team of over 1,800 professionals across 12 offices, with headquarters in London and Boston. We blend innovation, control, and simplicity to enhance workplace efficiency and employee satisfaction.Our values—ownership, delivering a 7-star experience, and teamwork—drive us. We seek individuals who are curious, purpose-driven, and possess the right mindset to unlock potential. Our diverse talent pool represents over 70 countries, and if you are eager to make a significant impact in the professional world, we welcome you to join our team.To learn more about us, visit www.perk.com.

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.

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.

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.

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.