Senior Data Engineer

Senior Data Engineer - Technology Services

Join a multi-disciplinary Technology Services team delivering enterprise-scale data products and Business Intelligence solutions. You will develop and maintain data warehouses, models, reports, dashboards, and business applications, applying specialist skills across the Microsoft BI stack (Azure SQL, Microsoft Fabric, Synapse Analytics, Power BI) and the Power Platform. You will analyse data to provide descriptive, diagnostic, and predictive insights while ensuring high standards of data quality, performance, and governance.

To apply, you must have hands-on experience in data engineering and business intelligence, with expertise in Microsoft BI stack, data warehousing, ETL/ELT development, Microsoft Fabric, and Power BI.

Key Accountabilities

• Design, build, and maintain scalable data products including warehouses, models, reports, dashboards, and business applications.

• Implement, optimise, and document ETL/ELT data flows across operational systems, analytics platforms, and BI solutions.

• Deliver governed, reusable data solutions using Microsoft BI stack and Power Platform.

• Analyse data to provide actionable insights via descriptive, diagnostic, and predictive analytics.

• Re-engineer and optimise data processes and code for scalability and performance.

• Support batch and streaming data processing solutions, applying best practices.

• Ensure data quality, security, and governance across all platforms.

Key Criteria

• Experience in data engineering and business intelligence, including ETL/ELT development (Azure Data Factory).

• Extensive knowledge of SQL Server, data warehousing, data lakes, and cloud platforms.

• Hands-on expertise with Microsoft Fabric, Synapse Analytics, Azure SQL, and Power BI.

• Proven skills in data modelling and design using recognised industry standards.

• Experience with large, complex datasets, optimising data flows and performance.

• Strong communication skills with both technical and non-technical stakeholders.

• Experience designing, building, testing, and maintaining large-scale data products.

We will also add your details to our mail out lists. Please note you may receive details of roles outside of your immediate vicinity, as many candidates are able to relocate temporarily for work. Please disregard any such emails that are not of interest and let us know if you would rather not receive such mailouts and/or if you wish us to delete your details and prefer to apply direct to our advertised roles.

If you do not hear from us within three working days, unfortunately your application has not been shortlisted on this occasion. Thank you for your interest in working with us.

Qualification details and any other experience/skills relevant to the role to help support your application should be clearly shown in your CV.