About
Salary - £37,514 - £40,444 per annum Plus 20.3% Employer pension Contribution.
The immediate focus of the role is to strengthen how we extract, structure, analyse, and interpret data across the organisation. You ll play a key role not only in improving ETL/ELT processes and building reliable data structures, but also in transforming raw data into clear, actionable insight that supports academic performance, operational efficiency, and strategic decision-making. You will work closely with reporting teams and business stakeholders to understand analytical requirements, shape datasets that answer real organisational questions, and ensure that insight is accurate, timely, and trusted. This role requires someone who can bridge the gap between data engineering and practical analysis - ensuring that data is not only well-engineered, but genuinely useful. In addition to day-to-day delivery, you ll help shape our broader Data Strategy and Digital Roadmap as we transition to a lakehouse-supported medallion architecture. You ll work closely with software engineers, DevOps colleagues, reporting teams, and business stakeholders to deliver scalable data solutions in a hybrid-cloud Azure environment. What You ll Be Doing You ll take responsibility for the design, development, optimisation, and support of our data platform. This includes:
Designing and maintaining robust ETL/ELT processes to extract data from internal and external source systems
Building and managing structured holding tables, staging layers, and views to support operational systems and reporting
Developing and optimising SQL-based data models to improve performance and reliability
Supporting and enhancing datasets used for Power BI dashboards and operational reporting
Ensuring data quality, consistency, validation, and appropriate governance across platforms
Monitoring data flows, diagnosing performance issues, and implementing improvements
Working with stakeholders to translate reporting and analytical requirements into scalable data solutions
Applying secure data practices, including role-based access controls and appropriate handling of sensitive information
Contributing to documentation, standards, and best practices for data architecture and engineering
Our Technology Stack We build and operate primarily within the Microsoft ecosystem, so you ll work hands-on with technologies such as:
SQL Server (on-prem and Azure-hosted)
Azure SQL Database
Data Factory (Azure / Fabric)
Azure Functions
Azure Storage (Blob / Data Lake where applicable)
Power BI datasets and integration
The Impact of the Role This role is central to improving how the College Group uses data. Your work will:
Enable accurate, timely statutory and operational reporting
Improve visibility of performance and business outcomes
Reduce manual data handling and spreadsheet dependency
Increase automation and reliability across core systems
Strengthen confidence in data quality and governance
Support evidence-based decision making at all levels of the organisation
Growth & Development As a Data Engineer, you ll be encouraged to:
Contribute to architectural discussions and roadmap planning
Support the evolution of our Data Strategy towards a more structured, layered data platform
Propose improvements to data tooling and engineering practices
Mentor junior colleagues where appropriate
Develop deeper expertise in Azure data services
Work towards advanced Microsoft certifications in Data Engineering
You ll have autonomy, ownership, and the opportunity to help shape how data engineering evolves within the organisation - while being supported by an experienced technical team.
Languages
- English
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