Data Technician Apprenticeship
VOLKSWAGEN GROUP UNITED KINGDOM LIMITED
Milton Keynes (MK14 5AN)
Closes in 4 days (Wednesday 18 March 2026)
Posted on 11 March 2026
Contents
Summary
As part of the Level 3 Data Technician apprenticeship standard, you’ll be on track to an industry-recognised qualification and your dedicated industry coach will support you through a blended approach that will include remote, in-person, 1-2-1 and group learning.
- Wage
-
£20,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday.
36 hours 15 minutes a week
- Start date
-
Tuesday 1 September 2026
- Duration
-
2 years
- Positions available
-
3
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- Collecting and interpreting data from various sources, ensuring its accuracy and reliability
- Cleaning, transforming and organising data for analysis
- Using tools and techniques to visualise data in easy-to-understand formats for the team and wider business
- Actively seeking opportunities to learn and develop new skills in data analysis tools, techniques and methodologies
- Generating reports and dashboards to communicate findings to stakeholders
Where you'll work
Yeomans Drive
Blakelands
Milton Keynes
MK14 5AN
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
DIGITAL NATIVE (UK) LIMITED
Training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
Requirements
Essential qualifications
GCSE in:
- English (grade 4-9 (A-C))
- Maths (grade 4-9 (A-C))
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Analytical skills
- Logical
- Team working
About this employer
At Volkswagen Group UK, we’re driven by difference. With six big brands under one roof – each with its own history, designs and innovations – we’ve created some of the world’s most iconic vehicles, from luxury sports cars to family camper vans. Here, you’ll discover opportunities, explore ideas and tackle challenges that you won’t find anywhere else.
It takes a range of teams to make the Group successful. We all share the same aim: to deliver sustainable mobility for generations to come, while keeping the customer and their changing demands at the heart of everything we do.
There’s never been a more exciting time to join our industry as it undergoes the biggest transformation for over 100 years. With digitalisation, electrification and driverless mobility all coming to the market, we’re actively looking for people with new skills, knowledge, and outlooks. A brave new world demands brave, new, diverse people; so whatever your background, we would love to hear from you. We know that different perspectives and thought processes are vital as our industry goes through an exciting period of change.
Our apprenticeship schemes are a great way to charge up your career by gaining on the job experience and a professional qualification, whilst earning a competitive salary with great benefits.
https://careers.volkswagengroup.co.uk/early-careers/apprenticeships (opens in new tab)
Company benefits
As well as a salary of £20,000, you'll also receive 27 days holiday, plus bank holidays, have access to our car schemes, pension scheme, employee well-being support, on-site restaurant and shopping discounts.
After this apprenticeship
Upon completion of this apprenticeship, you'll be in a great position to continue your career in the data field.
Ask a question
The contact for this apprenticeship is:
DIGITAL NATIVE (UK) LIMITED
The reference code for this apprenticeship is VAC2000020409.
Apply now
Closes in 4 days (Wednesday 18 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.