Microsoft Data Engineer - Help Build Out Data Centre of Excellence

Microsoft Data Engineer Join a fast-paced, high-growth company at the forefront of zero-emission solutions, as they look for a skilled and motivated Microsoft Data Engineer who owns how data moves across the business. Why This Role This company is building out a data centre of excellenceand having recently hired a Head of Digital and an Infrastructure Architect, this is the first of a number of Data Engineer positions they are looking to fill in the very near future. If you are someone who takes ownership of data governance and is not just focused on report-building, then this is a fantastic opportunity for you to join an organisation at the beginning of this journey. What You Will Be Doing Build and maintain pipelines that bring data together from across the business into a central platform such as Microsoft Fabric. Profile, validate and cleanse incoming data. Develop ELT/ETL processes using tools such as dbt, Power Query (M), Spark, Azure Data Factory or Fabric Data Pipelines. Design dimensional models and reusable models that capture business logic once and serve it consistently to every downstream tool. Author efficient transformations in SQL, dbt or DAX for metrics such as year-on-year change, rolling averages and cohort analysis. Build automated tests and data-quality checks so issues are caught before they reach a report. Monitor pipeline and refresh runs, troubleshoot failures, and meet agreed SLAs. Tune platform performance and cost using partitioning, aggregations, query optimisation and appropriate storage/compute choices. Manage deployment across environments and support CI/CD and DataOps pipelines for releases and rollback. Build and certify trusted datasetsand semantic models so business users can safely explore data and build their own reports across whichever tools suit them such as Power BI, Fabric, Excel, etc. Produce clear, well-laid-out visuals that reduce decision lag and help teams act quickly. What You Will Have Third-level qualification in Computer Science, Information Systems, Data, Software Engineering or any other related discipline. 3+ years experience focused ondata engineering and modelling. Experience building data pipelines and models that integrate three or more major data sources. Experience working with large datasets. Hands-on delivery with at least one modern cloud data platform, eg. Microsoft Fabric, Databricks, Synapse or BigQuery. Experience building governed self-service and semantic layers that enable other teams to report independently. Skills: Databricks Microsoft Fabric SQL Data Governance Azure Benefits: Bonus Flexitime Healthcare Career Progression Discount with local businesses

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