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Data Engineer
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We're hiring a Data Engineer to help design, build and maintain the data infrastructure that powers analytics, reporting and operational monitoring across a data-intensive business. You'll join a small, high-impact team working directly with stakeholders on critical projects — the kind of role where your work is visible and the feedback loop is short.
This is a hands-on engineering role in a regulated environment, so a disciplined approach to data integrity, timeliness and governance matters as much as raw technical ability.
What you'll do Build and maintain reliable ETL/ELT pipelines that ingest data from a range of internal and external sources Design logical and physical data models optimised for analytics and BI consumption Implement validation, monitoring and error-handling so pipelines stay resilient and well-documented Contribute to architectural decisions on data storage, processing and access Partner with operational and analytics teams to make data genuinely usable across the business Help raise data-quality standards and support governance, audit and compliance activity (including GDPR) Identify opportunities to improve performance, scalability and cost — including automation and AI-assisted data processing
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Background Strong SQL, specifically Microsoft SQL Server / T-SQL Python for data processing A solid grounding in ETL/ETL A degree in Computer Science, Mathematics or Engineering — or an equivalent hands-on technical background
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Nice to have Microsoft Fabric and/or PySpark Experience handling data in a regulated or compliance-driven setting
Who you are A motivated problem-solver who takes ownership of getting things right A clear communicator who can gather requirements and explain solutions to technical and non-technical audiences alike Adaptable, and energised by turning real problems into tangible, used solutions
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