Data Engineer

Job Description Make sure to apply with all the requested information, as laid out in the job overview below. We’re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer. This is an excellent opportunity for either an experienced “mid” level Data Engineer or a motivated junior with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity. You’ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role You’ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits Include • 25 days’ annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! • £45K Basic Salary + Bonus Key Responsibilities Include • Developing and maintaining scalable data pipelines using Python • Automating manual Excel/VBA workflows into reliable, production-grade systems • Working with large datasets using Spark and Azure (Databricks/Synapse) • Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) • Driving best practices including Git, CI/CD, and code reviews • Collaborating with stakeholders to deliver actionable data solutions What They’re Looking For • Strong Python and SQL skills • Experience or exposure to Spark, big data tools, or cloud xlqdzyr platforms (ideally Azure) What’s On Offer • The chance to join a business at an exciting stage of growth following recent investment • A collaborative and supportive team environment • Clear opportunities for development and progression • Hybrid working – ideally 2 days per week in the office (Tuesdays & Wednesdays), with some flexibility available for those further away: 1 day per week in the office, or even 1 day every 2 weeks? If you’re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we’d love to hear from you!