Data Product Engineer Apprentice (Level 5)

Working under the Lead Data Product Engineer, this 21-month Level 5 Apprenticeship focuses on writing Python and SQL code to build modern cloud data pipelines within the Microsoft Azure and Databricks ecosystems.

Are you passionate about data and ready to take the next step in your technical career? As a Data Product Engineer Apprentice at Peabody, you’ll play a key role in building and maintaining trusted data products that support better decision-making across the organisation.

This is a Level 5 apprenticeship, designed for individuals who already have some experience or exposure to data or technology and are looking to develop into a fully-fledged data engineer. You’ll work closely with our Lead Data Product Engineer and wider team, developing your skills in a structured, supportive environment while contributing to real projects from day one.

What you’ll do

• Support the development of data pipelines and transformations using Azure Data Platform tools (Databricks, Data Factory, Data Lake Gen2)

• Contribute to building and maintaining curated data layers (bronze, silver, gold)

• Write and develop Python and SQL code for data transformation tasks

• Assist in implementing data quality checks, monitoring and issue resolution

• Create and maintain technical documentation including data dictionaries and lineage records

• Work with product owners, analysts and stakeholders to understand data requirements

• Take part in agile ways of working including stand‑ups, sprint planning and retrospectives

• Engage in mentoring, code reviews and structured learning with senior engineers

• Follow data governance, security and metadata standards

• Raise issues and contribute to continuous improvement across the data team

What you’ll gain during your apprenticeship

As part of your 21‑month Level 5 Databricks Engineer Apprenticeship, you will:

• Receive structured on‑the‑job training with experienced engineers

• Attend formal training sessions, workshops and learning modules

• Develop practical skills through real data engineering projects

• Take part in regular 1:1s, feedback sessions and development planning

• Build a strong technical foundation in modern data platforms

• Complete an End Point Assessment (EPA)

What you’ll need

• A genuine interest in data, technology and problem‑solving

• Some prior experience or exposure to data, analytics or software development (e.g. through work, study, bootcamps or projects)

• Basic familiarity with Python or SQL (or willingness to develop quickly)

• Strong attention to detail and pride in producing high‑quality work

• Ability to work collaboratively and ask questions to learn

• Good organisational skills and ability to manage your workload

• A proactive mindset and willingness to learn in a fast‑evolving environment

Who you are

You will be:

• Curious, motivated and eager to build a career in data engineering

• Open to feedback and committed to continuous learning

• Comfortable working in a collaborative, agile environment

• Resilient and solutions‑focused when working through challenges

• Someone who wants to grow into a technical specialist role

Why Join Us?

When you join Peabody, you’re joining a team guided by our values:

Be Kind, Do the Right Thing, Love New Ideas, Celebrate Diversity, Keep Our Promises, and Pull Together. We’re investing in data as a strategic capability and creating opportunities for people to grow into highly skilled engineering roles within the organisation.

What We Offer

• 30 days annual leave, plus bank holidays

• Two paid volunteering days each year

• Fully funded Level 5 apprenticeship programme

• Structured mentoring and career development

• Life assurance at 4x your salary

• Up to 10% pension contribution