11 big data jobs found in London

Team:   DevOps, Engineering Location:   Paddington, London (four days a week in office) Employment status:   Full-time, permanen Reporting to:   Head of DevSecOps Working week:   Monday-Friday About Hyperlayer Hyperlayer is a B2B product company, building a platform to revolutionise the world of payments. Hyperlayer transforms digital wallets into smart wallets that change the way people, and businesses, spend money. Wallets powered by Hyperlayer let consumers withdraw money from multiple accounts with a single tap, for a specific purpose. Our platform enables capabilities such as connecting specific accounts with targeted brand spending, it gives merchants and customers access to cutting-edge rewards, and since spending is social, Hyperlayer supports group saving, sharing and spending. All in one platform. Hyperlayer is working with large retailers and financial institutions. Our product introduces innovation to these industries to create solutions:...

Vacancy No VN1053 Location London Employment Type Perm Basis Full Time Fixed Term Duration Overview We’re looking for a mid-level Data Engineer to design, build, and deploy high-quality data solutions across Chambers’ products, platforms, and applications, ensuring they meet data engineering best practices and quality standards. In this role, you will champion engineering excellence and act as a subject matter expert for data-related projects, ensuring performance, scalability, and compliance with standards across the data engineering team. Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified...

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of...

About us Mavenoid is the Intelligent Support Platform for products and devices. Our purpose-built technology delivers best-in-class customer support with intelligent troubleshooting and personalized remote support. Our product provides manufacturers and sellers genius-level customer support while reducing costs. Having raised our Series B, we’re in an exciting phase of growth but are still small enough for each new person to have a big impact on the company as a whole. We were founded in Stockholm, Sweden, but now operate globally as a remote-first company, with team members located across Sweden, the United Kingdom, the United States, and more. The role You will be part of the ML team at Mavenoid, shaping the next product features to help people around the world get better support for their hardware devices. The core of your work will be to understand users’ questions and problems to fill the semantic gap. The incoming data consists mostly of textual...

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Data Analyst / BI Developer 12 month FTC Location: London (Hybrid) Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. About the role As a Data Analyst / BI Developer in the insurance sector, you will analyze complex,...

Junior Business Intelligence Developer About the role Our client is a leading global financial services organisation. This role sits within their Data Services team supporting Global Broking and wider business areas. The position focuses on supporting the delivery of data and reporting initiatives, helping produce accurate and meaningful insights into business performance. You will work closely with experienced BI professionals and senior stakeholders, contributing to the development of dashboards, data processes, and reporting solutions. Seeking entry level graduates as well as professionals with 2-4 years experience. What you’ll do Support the delivery of data and reporting projects, contributing to the development and maintenance of BI dashboards (primarily using Qlik). Assist in ensuring BI dashboards remain accurate, reliable, and efficient, helping monitor quality and identify opportunities for improvement. Help maintain the day-to-day...

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments to co-investments and secondary purchases, across private equity, real assets and private credit. We have partnered with more than 650 clients, including institutional investors of all sizes as well as a growing number of private wealth advisers and investors, with approximately $65bn in discretionary assets under management (as of December 31, 2023). Leveraging our specialized experience and global team of professionals across Europe, the Americas and Asia, we invest with purpose and lead with expertise to build secure financial futures. For further details please visit www.pantheon.com Purpose of Position Pantheon is undergoing a multi-year program to build out a new best in class Data Platform using cloud native technologies hosted in Azure. We...

About Artificial Help shape the future of specialty insurance At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making. We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth. You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry. We've just raised $45M (£33M) in Series B funding from lead investor CommerzVentures, new investor Move Capital, as well as...

Analytics Manager (Data Engineering & AI) Push Gaming is a dynamic and innovative iGaming development studio specialising in creating top-quality, mobile‑optimised online casino games. With a passion for gaming and a commitment to pushing boundaries, we are dedicated to delivering exceptional experiences to players worldwide. We are looking for an experienced and collaborative Analytics Manager (Data Engineering & AI) to lead our data engineering and AI initiatives. This role will own the design, delivery, and operationalisation of data platforms, pipelines and machine learning solutions that power business insights, product intelligence and personalised player experiences. This is a hybrid leadership position designed for a highly technical visionary. You will bridge the gap between complex data engineering, advanced analytics, and executive decision-making. As a PhD-level expert, you will not just manage a team; you will architect the future of our data...

Level : 4 Salary band : £65,000 - £85,000 Bonus :   8% performance-based, discretionary Location :   Hybrid - work in our London office 3x/wk At   Automata , we're on a mission to transform how scientists work by making automation accessible to every lab in the world. We believe that by giving labs the power to automate, we can unlock discoveries that will shape the future of life sciences—from diagnostics and drug discovery to synthetic biology. But we’re more than just a company disrupting the industry—we're a team of innovators, problem-solvers, and creators passionate about empowering scientists. Our LINQ platform combines hardware and software to streamline workflows, making lab automation fast, flexible, and affordable. This means our customers can focus on groundbreaking research, while we take care of the rest. Why Work at Automata? Impact : Your work will directly contribute to advancements in science and medicine, supporting labs around the...

About the Opportunity We're looking for a   Senior   Data Engineer   to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data. You will join a small, cross-geography engineering team operating with a   product mindset   - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform. What to expect? Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources. Develop high-quality data models that support analytics, reporting, and operational use cases. Partner with analytics, product, and business stakeholders to understand data needs...