Lead Data Engineer at Tilt | London

About Tilt 🛸At Tilt, we are on a mission to Make Commerce Alive. Our platform revolutionizes the traditional e-commerce landscape, moving away from outdated website builders and faceless marketplaces to create vibrant, community-driven experiences for the new generation of merchants. With millions of engaged shoppers across the UK, from sneaker enthusiasts …

Join physicsx as a Senior Simulation Data Engineer, where you'll play a critical role in developing and optimizing simulation data workflows. You will collaborate closely with cross-functional teams to enhance our simulation capabilities and ensure data integrity. Your expertise will be instrumental in driving innovation and improving our processes.

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.

Abound is changing how consumer lending works in the UK and beyond. By combining AI with Open Banking data, the company offers personal finance options that go beyond traditional credit scores. Each applicant is evaluated based on real financial habits and repayment history, aiming for fairer access to credit. Since launch, Abound has issued over £1.3bn in loans and kept default rates well below industry averages. Profitability came within 2.5 years. With more than £2bn in investment from Citi, GSR Ventures, Deutsche Bank, and others, Abound is recognized as one of Europe's fastest-growing fintechs. As the company expands into new markets and products, it seeks people eager to learn, take ownership, and grow alongside the team. Role overview The Data Engineer will join the Platform team in London, focusing on the development and improvement of Abound’s Data Lake. This position acts as a connector between Platform and Data Science, maintaining the infrastructure and data pipelines that drive decision-making across the business. The role is individual contributor level, offering autonomy and the chance to make a measurable impact. Main focus for the first 6–12 months Upgrade the Data Lake into a scalable, high-performance platform for analytics and data science. Migrate production workloads, including model calibration, ad-hoc analytics, and reporting, into the Data Lake. Redesign data structures to improve query speed, lower AWS costs, and ensure timely data availability. Collaborate closely with the Data Science team to support rapid experimentation and delivery through reliable data systems. Technology stack Cloud & Compute: AWS, ECS Fargate, AWS Lambda Databases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg Languages & Infrastructure as Code: Python, Spark, SQL Observability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab

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

Join our dynamic team at OctoEnergy as a Data Engineer, where you will play a pivotal role in transforming data into actionable insights. We are seeking a motivated and innovative individual who thrives on tackling complex challenges and delivering high-quality solutions.

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.

ASOS Plc seeks a Data Engineer in London to support data processing and analytics for its online fashion platform. This role centers on improving how data is managed and used across the company. Role overview The Data Engineer will work with modern data technologies, contributing to projects that influence data-driven decisions throughout the business. The position involves collaborating with teams to strengthen data workflows and ensure reliable analytics. Location This is a London-based role, working onsite with ASOS Plc's technology and analytics teams.

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.

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.

About The Dot CollectiveAt The Dot Collective, we are a forward-thinking consultancy operating across the UK and EU, dedicated to engineering excellence and empowering individuals to create significant impact.Our team utilizes the latest technology stacks and embraces agile scrum methodologies for all our projects.About YouAre you driven by a passion for data and its transformative potential? Do you thrive on making a substantial difference in a short time frame? If so, we may be the perfect fit for you.

Senior Data EngineerLocation: London (Hybrid)About SwapSwap serves as the foundation for modern agentic commerce, being the only AI-native platform that seamlessly integrates backend operations with a progressive storefront experience.Designed for brands aiming to sell anything, anywhere, Swap centralizes global operations, fuels intelligent workflows, and enables margin-preserving decisions through real-time data and capabilities. Our product suite encompasses cross-border transactions, tax solutions, returns management, demand planning, and our cutting-edge agentic storefront, empowering merchants with full transparency and actionable insights.At Swap, we are cultivating a culture that emphasizes clarity, creativity, and shared ownership as we revolutionize the landscape of global commerce.About the RoleWe are seeking a dedicated and detail-oriented Senior Data Engineer to join our platform team as we swiftly advance our technology stack for a new, data-driven era at Swap. In this role, you will lead transformative initiatives by developing world-class data systems for the entire organization, while also contributing to the platform’s vision and advocating for internal best practices.This position calls for a knowledgeable, hands-on, and enthusiastic team player who is eager to accelerate and scale a greenfield project. If you thrive in a fast-paced, collaborative environment where your contributions can make a significant impact, we want to hear from you!ResponsibilitiesAPI Strategy & Development: Lead the strategy and implementation of our API layer to facilitate product access to essential data.Platform Technical Vision: Shape and influence the technical direction of Swap’s data platform to ensure readiness for future business growth.Data Pipeline Development: Manage our replication pipelines, ensuring optimal observability, latency, and alerting capabilities.Data Quality & Governance: Champion best practices to ensure our data is reliable and trustworthy as we scale, delivering top-tier products for Swap.What We Are Looking For5+ years of experience as a data engineer in customer-centric product environments.Proven proficiency in Python for data pipeline creation, orchestration, and API development.

Join AVK’s Business Operations team as a Data Engineer, where your expertise will drive our data initiatives. In this pivotal role, you will design, build, and maintain our comprehensive data infrastructure, overseeing the entire data lifecycle from extraction and transformation to semantic modeling. Your contributions will enable high-quality, reliable data to fuel reporting, analytics, and strategic decision-making across the organization.Key Responsibilities:Engineered robust ETL and ELT pipelines to ensure seamless data flow.Develop and optimize logical and physical data models, enhancing semantic models and datasets tailored for Power BI and detailed analytics.Integrate and structure data from key enterprise platforms including CRM, Finance, and Project Management systems.Act as a liaison between business needs and data solutions, collaborating with stakeholders across various teams to articulate requirements and effectively communicate data concepts.Design and implement efficient, scalable solutions using SQL and Python, optimizing for performance and reliability.Establish validation, monitoring, and error handling frameworks to assure high data quality and reliability, fostering organizational trust in data outputs.

About the RoleJane Street is seeking a skilled Data Engineer to enhance our understanding, management, and dissemination of data that informs our trading strategies. At Jane Street, the ability to comprehend and manipulate data accurately is fundamental to our operations.In this role, you will utilize a combination of proprietary and open-source tools to analyze diverse datasets, identifying anomalies, ensuring consistency in formats and symbologies, automating ETL processes, and ultimately simplifying the process for our traders to derive insightful conclusions.We are looking for someone who is passionate about diving deep into data and articulating findings to various stakeholders, collaborating closely with traders and software engineers.While familiarity with financial data is beneficial, we do not require a financial background. We are eager to hire talented engineers and provide the necessary training.

Join Our Journey Welcome to Zopa! Founded in 2005, Zopa pioneered peer-to-peer lending and has since evolved, launching Zopa Bank in 2020. Our mission is to transform the banking experience by prioritizing customer needs and redefining financial services. We empower our team and customers to challenge the norms and aim high. Discover our innovative offerings at Zopa.com!We take pride in our accomplishments and our outstanding team, which has propelled us to be recognized as one of the UK’s Most Loved Workplaces.At Zopa, we welcome those who thrive on unconventional challenges and are eager to make a significant impact. Follow us on Instagram @zopalife to see our culture in action!About the Team:The Data Engineering team is essential in designing, constructing, and managing the intricate data pipelines vital to our bank's operations. We leverage a blend of software engineering, data analytics, and operational skills while collaborating with various teams to tackle diverse and complex challenges. Our culture values teamwork, practicality, and continuous learning over individual accomplishments.This role offers you the opportunity to join Zopa’s Data Engineering team at a pivotal moment of growth and advancement. You will be instrumental in developing and enhancing the data platforms that drive decision-making throughout the bank, from customer behavior insights to critical applications like fraud detection, where every moment counts.

We are seeking a talented and motivated Mid-Level AWS Data Engineer to join our dynamic team at Capco in London. As a key player in our data engineering initiatives, you will work on cutting-edge projects that leverage AWS technologies to transform data into actionable insights. You will collaborate with cross-functional teams to design and implement robust data pipelines, ensuring data integrity and accessibility.

Join Infopro Digital as a Data & AI Engineer and play a vital role in our software development team. This permanent position supports our expanding Data & Benchmarking team, mainly focusing on Risk.net while occasionally collaborating with other brands.Infopro Digital is a leading B2B group specializing in information and technology, with a presence in 20 countries and a diverse workforce of 4,000 employees spanning 79 nationalities.Your primary responsibilities will include building, maintaining, and enhancing our data pipelines, datasets, and tools utilized by editorial, research, and product teams. You will be instrumental in collecting, processing, and managing data from various sources, including public, internal, and third-party.This role involves designing and optimizing data workflows, developing scripts for data ingestion and transformation, and assisting in the storage and management of structured datasets across the organization.Collaboration is key in this position, as you will work closely with developers, analysts, and editorial teams to ensure data accessibility, reliability, and structure for analysis, reporting, and product development.Why Join Our Software Team?We offer numerous opportunities for professional growth and the chance to work on exciting projects. Collaborate with a team of experienced developers, testers, architects, and system administrators, and gain exposure to a variety of technologies and practices.Our commitment to stable employment and a robust project pipeline means many ongoing initiatives and improvements are on our roadmap. Many developers build long-lasting careers with us.Key Responsibilities:Develop and maintain automated workflows and data pipelines for data collection and processing.Design, manage, and optimize structured datasets utilized throughout the organization.Create scripts and services for extracting, transforming, and loading data from various sources.Support journalists, analysts, and product teams in accessing and manipulating data.Ensure data quality, consistency, and reliability across datasets.Identify and implement improvements in automation and efficiency within data workflows.Collaborate with internal stakeholders, including developers, designers, UX specialists, and product teams.Contribute to the development of innovative data products, tools, and services.

Funding Circle connects small businesses in the UK with fast access to funding, helping them grow and contribute to the broader economy. The company’s platform simplifies the lending process, allowing businesses to secure capital in minutes instead of waiting weeks. Culture At Funding Circle, the team blends the adaptability of a fintech start-up with the reliability of a public company. Employees, known as Circlers, are empowered to make meaningful decisions. Collaboration, open communication, and high standards guide daily work and foster a supportive environment. Company Impact Businesses using Funding Circle’s platform contributed £7.2 billion to the UK economy last year. Every team member plays a role in driving this impact.

About the RoleJoin Teza Technologies as a Data Engineer in our dynamic data team, where data is the heartbeat of our systematic trading and vital to every facet of our operations.This hands-on role within a growing team of data engineers offers significant potential for career advancement, as we anticipate rapid growth over the coming years. We seek candidates with exceptional technical expertise, meticulous attention to detail, and a proven track record in architecting and developing robust data platforms.LocationHybrid role based in London, UK, with a requirement of 3 days in-office each week.Key ResponsibilitiesCollaborate with Portfolio Managers and Quantitative Developers to translate business needs into effective technical solutions while providing insights into dataset intricacies.Enhance our data warehouse by designing and integrating new data sources and functionalities; boost system reliability, speed, and scalability while overseeing data access management.Contribute innovative data management, analytics, and technological insights to the team and leadership.Assess and recommend new tools and technologies for organizing, querying, and streaming extensive datasets.Create and implement automated systems for data cleansing, anomaly detection, monitoring, and alerting.Provide support for our production data warehouse as needed.Cultivate and maintain strong vendor partnerships aligned with our business objectives.Essential QualificationsProficiency in Python and Unix/Linux for data manipulation, scripting, and automation.Deep understanding of SQL and familiarity with NoSQL databases, especially Postgres and MongoDB, with skills in query optimization and performance tuning.Strong grasp of data modeling principles, including both normalization and denormalization techniques.Experience with cloud platforms, such as AWS or GCP.Familiarity with Git version control, collaborative workflows (e.g., Github), and CI/CD best practices.Bachelor’s degree in Computer Science, Information Technology, or a related field.Preferred Qualifications...

Join Us in Transforming the Creator Economy with AIFanvue is rapidly emerging as one of the leading platforms for creator monetization on a global scale. Our AI-driven, creator-centric platform empowers creators to connect with their audiences, engage meaningfully, and generate income directly at scale. Following our successful Series A funding, Fanvue has achieved over $100M in annual recurring revenue, with impressive triple-digit growth year-over-year, supporting countless creators and millions of fans around the world.As we continue to expand, the significance of data within our organization is becoming increasingly vital across various functions including product development, growth strategies, finance, and risk management. This position is pivotal in establishing a robust data foundation that the entire company can rely on, facilitating quicker decision-making, sophisticated analytics, and scalable machine learning capabilities. The RoleWe are seeking a Senior Data Engineer to take charge of and enhance Fanvue’s essential data infrastructure.This is a crucial, high-impact role where you will stabilize data ingestion processes, enhance observability and governance, minimize manual tasks, and enable advanced analytics and machine learning workloads. Your contributions will be foundational in helping Fanvue thrive as a genuinely data-driven organization. ResponsibilitiesOversee and stabilize end-to-end data ingestion pipelines, including Change Data Capture (CDC) ingestion using Amazon DMSAddress schema drift challenges and automate column ingestion to eliminate manual re-sync effortsDevelop production-grade observability for data pipelines, dbt runs, and Athena performanceSet up monitoring and alerting frameworks to proactively identify data quality issues or pipeline failuresEnhance CI/CD workflows for data transformations, aiming to reduce PR build times and deployment complexitiesDesign and implement reusable ingestion frameworks for swift onboarding of new data sourcesEstablish robust data governance protocols, including dbt tests in production and scheduled full-refresh pipelinesFacilitate advanced analytics and ML infrastructure, including AWS SageMaker integration and on-demand analytics environmentsImplement fine-grained access controls (RBAC) to safeguard PII and sensitive data as the company scalesManage Infrastructure as Code for the data platform utilizing AWS CDK