Data Engineer

<p style="min-height:1.5em"><strong>About Us</strong></p><p style="min-height:1.5em">Lupa is building a category defining product the industry has never seen before.</p><p style="min-height:1.5em">We're the AI-native operating system for veterinary practices and pet parents, replacing the fragmented, clunky systems vets have tolerated for years with a single intelligent platform for scheduling, client communication, clinical documentation, and AI-driven care guidance. Practices run more efficiently, vets get back to doing what they love, and pet parents feel more connected to their animals' health than ever.</p><p style="min-height:1.5em">The traction speaks for itself: founded in 2023 and already one of Europe's top 100 AI startups, with a team of 50 people, 10x growth in twelve months, the UK market leader, and now charging hard into the US and Europe. We have $25M in funding, 1M+ pets on the platform, and a buzzing HQ in Paddington, London. We've attracted exceptional people from the likes of Palantir, Google, DeepMind, BCG, Meta, and AWS and we're just getting started.</p><p style="min-height:1.5em">This is a rare chance to join a rocket ship at exactly the right moment and we're looking for exceptional people to help us fly it.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>In this role, you will:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design and build data pipelines from raw ingestion through to clean, modelled, production-ready datasets that engineering and product teams rely on</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own data quality across your domain, defining standards, instrumenting checks, and resolving failures with urgency</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Monitor pipeline health in production and respond to issues proactively, not reactively</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Collaborate with engineering and product to understand data requirements and turn them into robust, scalable solutions</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Help define and evolve the architecture of our data platform as we scale across new geographies and product surfaces</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Document your work clearly so the team can understand, extend, and maintain what you build</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Your background looks something like:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Multiple years of hands-on data engineering experience in a professional setting</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Strong Python skills and a demonstrated ability to build pipelines from scratch, not just extend existing ones</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Solid knowledge of data modelling and practical experience with Apache Spark, AWS services, Docker, and Airflow</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience in a startup or fast-growth environment where you’ve made pragmatic decisions under uncertainty</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Scala experience (nice to have, we’re happy to invest in teaching it if your foundations are strong)</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Familiarity with dbt, Delta Lake, or similar modern data transformation tooling (nice to have)</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Exposure to ML pipelines or feature stores (nice to have)</p></li></ul><p style="min-height:1.5em"><strong>As a person, you:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Have a proactive, ownership-oriented mindset. You don’t wait to be told something is broken</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Take genuine pride in craft and correctness, and hold yourself to a high bar</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Collaborate well with engineering teams who consume your data and communicate clearly across functions</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Thrive in environments where you’re expected to build from scratch, not inherit a tidy queue of tickets</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Are excited to work in-person from our Paddington, London HQ (or equivalent location)</p></li></ul><p style="min-height:1.5em"><strong>What does success look like in 6 months?</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You’ve built and shipped at least two meaningful pipelines end-to-end</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You own a defined area of the data platform and are making architectural calls with confidence</p></li></ul><ul style="min-height:1.5em"><li><p style="min-height:1.5em">The team trusts your judgement without needing to review every decision</p></li></ul><p>Find more <a href="https://www.arbeitnow.co.uk/english-speaking-jobs">English Speaking Jobs in United Kingdom</a> on Arbeitnow</a>