{
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  "job_city": "Tiverton",
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  "job_title": "Data Engineer",
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  "job_description": "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.\n\nThis 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.\n\nThe Role:\n\nYou’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.\n\nBenefits include:\n\n- 25 days’ annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more!\n\n- £45K Basic Salary + Bonus\n\nKey responsibilities include:\n\n- Developing and maintaining scalable data pipelines using Python\n\n- Automating manual Excel/VBA workflows into reliable, production-grade systems\n\n- Working with large datasets using Spark and Azure (Databricks/Synapse)\n\n- Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work)\n\n- Driving best practices including Git, CI/CD, and code reviews\n\n- Collaborating with stakeholders to deliver actionable data solutions\n\nWhat they’re looking for:\n\n- Strong Python and SQL skills\n\n- Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure)\n\nWhat’s on offer:\n\n- The chance to join a business at an exciting stage of growth following recent investment\n\n- A collaborative and supportive team environment\n\n- Clear opportunities for development and progression\n\n- 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?\n\nIf 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!",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773878400,
  "job_posted_at_datetime_utc": "2026-03-19T00:00:00.000Z"
}