Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own data processing solutions.Optimise our data stack for performance, scalability, cost-effectiveness and observability.Work closely with cross-functional teams to understand their data needs and design solutions that meet their requirements.As such, much of what we design and implement today will be the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Our focus is on maximising the amount of time internal teams spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. The Data Platform team ensures internal teams can easily collect, store, process and utilise data to build reports or products aiming to solve business problems. Our team’s mission is to build a world-class data platform that powers our products and analytics. Job DescriptionĬ is looking for an ambitious Data Engineer to join our Data Platform Team. We’re building diverse and inclusive teams around the world - because that’s how we create even better experiences for our merchants and our partners. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. We empower passionate problem-solvers to collaborate, innovate and do their best work. And it's not just what we build that makes us different. Purpose-built with performance and scalability in nd, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Binance, Klarna and many others. Our mission is to enable businesses and their communities to thrive in the digital economy.
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is one of the most exciting and valuable fintechs in the world, with our Series D taking our valuation to $40 billion.
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