Data Engineer Level 5 Apprenticeship

Build, manage and optimise data systems that power business intelligence and AI

Master advanced data engineering to build systems that collect, manage and convert data into usable information. This apprenticeship teaches data pipelines, ETL processes, cloud platforms, data warehousing and DevOps practices – creating scalable infrastructure for data-driven organisations.

This apprenticeship develops data engineers who build systems that collect, manage and convert data into usable information for data scientists, analysts and business intelligence teams. Learners master Python, SQL, cloud platforms, data pipelines, ETL processes and infrastructure as code – building core technical and leadership skills for data-driven transformation.

For employers: Build scalable, reliable data infrastructure. Ensure continuous access to critical data for informed decisions. Improve data governance, reduce technical debt, and support AI-driven innovation. Create internal capability that reduces reliance on external consultants and contractors.

For learners: Master Python for data engineering and automation. Build SQL and NoSQL database skills. Design and implement ETL pipelines and data warehouses. Work with cloud platforms (AWS, Azure, GCP). Apply DevOps practices including CI/CD, Docker, and infrastructure as code. Develop leadership and stakeholder management capabilities.

Application → Training → Portfolio Building → EPA → Qualified Data Engineer

Course content

Programming & Development

Advanced Python for data engineering
Data processing with pandas and libraries
Version control with Git
Software testing and quality assurance

Database Engineering

SQL mastery – from basics to advanced queries
NoSQL databases and when to use them
Database design, normalisation and optimisation
Data warehousing (star schemas, data lakes, data marts)

Data Pipelines & ETL

Data engineering lifecycle and data modelling
Building and automating data pipelines
ETL/ELT processes and tools
Data integration across systems
Streaming and real-time data processing

Cloud & Infrastructure

Cloud platforms (AWS, Azure, GCP)
Infrastructure as code with Terraform
Containerisation with Docker
CI/CD pipelines with GitHub Actions
Kubernetes and orchestration

Data Governance & Quality

Data quality frameworks and monitoring
Data security and compliance
Metadata management and lineage
Performance optimisation and troubleshooting

Product & Leadership

Product management for data products
Stakeholder management and communication
Building sustainable data products
Presenting to technical and non-technical audiences

Delivery

Online delivery with monthly group sessions, 1:1 coaching, and webinars. Practical, challenge-based learning using real data infrastructure projects. Learners build a portfolio throughout, with progress reviews tracking evidence against the Level 5 standard.

Assessment

End-point assessment (EPA) including portfolio review and professional discussion. Apprentices build evidence throughout using real engineering projects – data pipelines, infrastructure code, database designs, automation scripts, cloud deployments – demonstrating scalable solutions and business impact.

Want to Become an Apprentice?

Apply online through our simple formJoin our talent poolWe match you with real employersStart earning while you learn

I would definitely recommend an apprenticeship. The apprenticeship helps you gain both theoretical and practical knowledge.

Joanna Sipowicz

Test Analyst

The Coders Guild are adept at putting together course content that’s relevant to business in today’s market, with practical tools & skills that can be implemented from day one.

Liz Leith

Service Design & Delivery Manager

I’d like to say that my apprenticeship experience with The Coders Guild and Dedalus has been outstanding so far. The support, structured learning, and opportunities for growth have exceeded my expectations.

Anna Trubnikova

Software Developer Apprentice

FAQs for Employers

How does the funding work?

Our apprenticeships are funded via the government’s levy scheme. If you’re a levy-paying organisation, training comes from your levy pot. If you’re an SME, we can secure 95–100% funding through co-investment or levy transfers – we’ll guide you through it all.

Is the training aligned to our business needs?

Yes. Every apprenticeship is built around the apprentice’s real job. We collaborate with you to shape project work and tasks that directly support your team’s priorities, goals, and systems.

Do you teach specific tools or platforms?

We’re platform-agnostic and industry-led. We teach core engineering principles that work everywhere, with elective pathways for AWS, Azure or GCP. We adapt to your infrastructure and tech stack.

What kind of support do we get?

From onboarding to endpoint assessment, you’ll have access to our support team, technical coaches, and account managers. We handle compliance and reporting, keep you in the loop on progress, and are always here if anything’s not working.

Can we enrol existing staff?

Definitely. Apprenticeships are ideal for upskilling or reskilling current employees. It’s a practical way to retain talent, deepen expertise, and build internal capability in a cost-effective way.

How will we know it's working?

You’ll see the impact in-role. Apprentices bring their learning straight into the day job. We also check in with managers, gather regular feedback, and provide reporting so you can see development over time.

Who is this apprenticeship suitable for in our team?

Data analysts moving into engineering, software developers transitioning to data roles, junior data engineers needing formal training, or database administrators expanding into cloud and pipelines.

How much DevOps knowledge do they need?

We teach DevOps practices as part of the apprenticeship. Understanding CI/CD, Docker, and infrastructure as code are built in – they don’t need prior DevOps experience, just solid programming foundations.

Can this support our AI initiatives?

Yes. Data engineering creates the infrastructure that powers AI and machine learning. Your apprentice builds the pipelines, data quality frameworks and scalable systems that AI projects depend on.

FAQs for Learners

Do I need to be very technical already?

You need solid programming foundations and database experience. This is Level 5 – designed for people with some technical background who want to specialise in data infrastructure and engineering.

Will I learn tools I actually use at work?

Yes. Our training adapts to your workplace. We focus on engineering principles that work everywhere, with elective pathways for your specific cloud platform (AWS, Azure, or GCP).

What's the time commitment?

You’ll spend 6 hours a week on off-the-job learning – things like workshops, mentoring, group projects, and self-study. It all fits around your work schedule, and we help you manage it in a sustainable way.

What support will I get?

You’ll have access to tutors, technical coaches, and peer groups throughout the apprenticeship. We’re here to answer questions, troubleshoot challenges, and celebrate your wins. Plus, you’ll check in regularly with your line manager.

Is this like school or university?

Nope. This is workplace-first, challenge-based learning. You won’t be stuck in lectures. You’ll learn by doing, solving real problems, working with peers, and applying everything in context.

What happens at the end?

You’ll complete an end-point assessment and, if you pass, gain a nationally recognised qualification. Most apprentices continue in their role, take on more responsibility, or move up into a more advanced position.

Will I get paid?

Yes. This is a full-time employed role with a salary. You earn while you learn and build real data infrastructure from day one.

How long does the apprenticeship take?

12-18 months typically, depending on your starting point and experience. Those with strong programming backgrounds may complete faster.

What backgrounds do data engineers come from?

Data analysts wanting to move into engineering, software developers transitioning to data, database administrators, or anyone with programming skills who wants to specialise in data infrastructure.