Salary£50,000 LocationHybrid - Milton Keynes or Boston Summary This role is for a hands-on engineer who enjoysbuilding reliable, scalable data pipelinesthat people trust and use. As a Data Platform Engineer, youll play a key part in delivering high-quality data into our cloud platform, enabling reporting, analytics and evidence-based decision-making across the organisation. Youll work closely with BI, data product and governance colleagues to turn data from multiple source systems into well-engineered, production-ready datasets. Salary: £50,000 per year
Contract: Permanent, full time
Your week: 36.25 hours, Monday Friday (9am 5.15pm)
Location: Hybrid, with weekly presence in Milton Keynes or Boston Snapshot of your role Youll design, build and maintain ETL/ELT pipelinesin the Microsoft cloud, primarily using Azure Data Factory, Databricks and related Azure services. Your focus will be on producing data pipelines that are robust, performant and cost-efficient, with quality and reliability built in from the start. Youll work with modern engineering practices including Git, CI/CD and environment separation to promote small, safe and frequent changes. Youll also play an active role in data quality, validation and governance, ensuring datasets are well-documented, secure and discoverable. Collaboration is key. Youll partner with BI analysts, data product teams and business stakeholders to ensure data is accessible, well-modelled and fit for purpose, supporting insight and decision-making across the organisation. Were looking for engineers who care about quality and delivery. This role is about building data pipelines that are reliable, well-designed and genuinely useful not just technically interesting. If you enjoy solving real problems and seeing your work used, this is a great opportunity. Christopher Heappey, Director of Insight & Innovation What were looking for Youll be a motivated data engineer with strong technical foundations and a practical mindset. Youll bring: Hands-on experience building ETL/ELT pipelines in a cloud environment
Strong SQL skills and experience with data modelling
Experience working with Databricks (PySpark/SQL) and Azure data services
Familiarity with Git and CI/CD approaches for data engineering
A collaborative approach and attention to detail
Youre proactive, methodical and comfortable working with both technical and non-technical colleagues. You take pride in building data solutions that are dependable, well-documented and ready for production use.
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