Data Engineer Level 5
Build systems that collect, manage, and convert data into usable information. For school or MAT staff who manage complex data pipelines and infrastructure.
Programme Overview
The Level 5 Data Engineer apprenticeship prepares individuals to build and implement data flows that connect operational systems, and re-engineer manual data flows to enable scalable and repeatable use. Data engineers understand how data and an organisation's data architecture is essential to business outcomes. They gather, store, prepare and process data, building pipelines that deliver clean, reliable data to analysts and decision-makers. In a school or MAT context, a data engineer might build automated reporting pipelines, integrate MIS data with financial or HR systems, or implement data warehousing solutions to support strategic decision-making.
What Your Staff Will Learn
- Build and implement data flows to connect operational systems and enable scalable data use
- Design and maintain data pipelines that deliver clean, reliable data to analysts and stakeholders
- Understand how data architecture is essential to business outcomes and decision-making
- Gather, store, prepare and process structured and unstructured data at scale
- Apply data engineering best practices including data quality, security and governance
- Integrate data from multiple operational systems including MIS, finance and HR platforms
- Implement data warehousing and business intelligence solutions to support strategic reporting
- Stay current with emerging data engineering tools, platforms and methodologies
Entry Requirements
- 1Currently employed in a data, IT or analytics role with experience working with data systems
- 2English and maths at Level 2 required prior to End Point Assessment
- 3Be employed for a minimum of 16 hours per week in England
- 4Have the right to work in the UK
- 5Prior experience with data tools, databases or programming languages is advantageous
Off-the-Job Training
Dedicated off-the-job training during normal working hours. Includes advanced data engineering tools training, live workshops, project-based learning, and progress reviews. Funded via the Growth and Skills Levy (maximum funding band: £19,000). Non-levy employers contribute 25%.
End Point Assessment
End Point Assessment includes a work-based project, presentation with questions, and a professional discussion underpinned by a portfolio of evidence. Grades: Fail / Pass / Merit / Distinction. Typical training duration is 24 months followed by EPA period.
Benefits for Your School
Data Infrastructure
Build the data pipelines and infrastructure that power your school's analytics and reporting capability.
System Integration
Connect MIS, finance, HR and other operational systems to create a unified data environment.
Strategic Reporting
Enable real-time, automated reporting to support governors, senior leaders and MAT boards.
Senior Data Pathway
Level 5 data engineering — leads towards senior data architecture and AI specialist roles.
Programme Summary
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