Salary£50,000LocationHybrid - Milton Keynes or BostonSummaryThis 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 BostonSnapshot of your roleYoull 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 & InnovationWhat were looking forYoull 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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