Data Technician Apprenticeship
MEDTRONIC LIMITED
Hertfordshire (WD18 8WW)
Closes in 30 days (Thursday 10 December 2026)
Posted on 10 November 2026
Contents
Summary
Gain practical experience supporting data quality and management in a global health technology company. Working towards a Level 3 Data Technician Apprenticeship, develop skills in reporting, analysis, problem solving & emerging technologies, including AI, through structured learning & hands-on professional experience throughout.
- Wage
-
£27,690 a year
- Training course
- Data technician (level 3)
- Hours
-
Location: Watford, United Kingdom.
Working hours: 37.5 hours per week, Monday - Friday.
Work model: Hybrid (2 days per week in the office).
37 hours 30 minutes a week
- Start date
-
Monday 4 January 2027
- Duration
-
2 years
- Positions available
-
1
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
- Support data quality and stewardship activities by reviewing data records for accuracy, completeness and consistency.
- Investigate data issues, missing information and file rejections, identifying root causes and supporting resolution activities.
- Maintain and update data records to ensure information remains accurate as business requirements evolve.
- Collaborate with stakeholders to understand data sources, data usage and business processes.
- Assist in identifying trends, patterns and opportunities to improve data quality and operational processes.
- Learn and apply data management best practices, analytical techniques and emerging technologies, including artificial intelligence tools.
Where you'll work
Building 9 Croxley Park
Hatters Lane
Watford
Hertfordshire
WD18 8WW
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
THE APPRENTICE ACADEMY 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
The training is delivered 100% online. Learning sessions are delivered live, in real time, by data specialists using MS Teams . To participate in the sessions and access resources, l earners will need the use of a laptop or PC with a webcam and microphone facility.
Requirements
Essential qualifications
GCSE in:
- English (grade 9-4)
- Maths (grade 9-4)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
Other requirements
- Working knowledge of MS Office applications, including Excel, Word and Outlook.
- Strong organisational skills with the ability to manage multiple tasks, prioritise workload and maintain attention to detail.
- Effective communication and collaboration skills with the ability to work with a variety of stakeholders.
- Demonstrated curiosity, problem-solving mindset and willingness to learn new skills in a professional environment.
Would be a plus:
- Interest in data quality, data management, analytics, reporting or artificial intelligence.
- Experience using Excel, spreadsheets or other digital tools through education, projects or personal development activities.
- Awareness of data analysis, visualisation or reporting concepts.
About this employer
Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Career in data analytics, contracts, pricing, customer care.
Ask a question
The contact for this apprenticeship is:
THE APPRENTICE ACADEMY LIMITED
The reference code for this apprenticeship is VAC2000063583.
Apply now
Closes in 30 days (Thursday 10 December 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.