Taunton, Somerset
UCS College Group
We re looking for an experienced and proactive Data Engineer to join UCS College Group as part of our Digital Development team. This is a mid-level role suited to someone who already has solid commercial experience building and supporting data solutions within a Microsoft ecosystem and is ready to take ownership of core data processes.
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:
Our Technology Stack
We build and operate primarily within the Microsoft ecosystem, so you ll work hands-on with technologies such as:
The Impact of the Role
This role is central to improving how the College Group uses data. Your work will:
Growth & Development
As a Data Engineer, you ll be encouraged to:
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.
