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UCS College Group

Data Engineer

Taunton·On-site·1w ago·Closes 13 Apr 2026

Salary

£29k – £31k

Work type

Onsite

Level

mid

Category

Data Engineering

About the role

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.
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

Tech stack

SQLAzurePower BI