Apprentice Data Technician

Staffordshire County Council

Stafford (ST16 2DH)

Closes in 11 days (Friday 19 June 2026)

Posted on 8 June 2026


Summary

We have an exciting opportunity for someone to join the Careers & Participation Service supporting with a range of data-related tasks, harnessing and developing their skills within the role by completing a Level 3 Data Technician Apprenticeship alongside this.

Training course
Data technician (level 3)
Hours
Monday - Friday, 09:00 - 17:00.

37 hours a week

Start date

Saturday 1 August 2026

Duration

1 year 5 months

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

Supporting the Careers and Participation Service with the use of the NCCIS compliant database to ensure accurate recording.

Checking and processing a range of data from various sources and uploading onto various databases.

Supporting in the production of reports.

Where you'll work

1 Staffordshire Place
Stafford
ST16 2DH

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

QA 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

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Essential qualifications

GCSE in:

  • English (grade 4+)
  • Maths (grade 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
  • Attention to detail
  • Organisation skills
  • Team working

Other requirements

In order to be eligible, candidates must not hold an existing qualification at Level 3 (or higher) in a similar subject to the apprenticeship qualification.

About this employer

The core of who we are as an organisation. Just like we all have personal values that shape our thoughts and behaviour, organisational values drive how we think and act collectively.

Our Values: Ambitious, Courageous, Empowering

We have a real sense of community spirit that brings our people together. This feeling of belonging means we are all connected to what we do and take pride in the difference we make every day for Staffordshire people. We are ambitious and our sights are set firmly on a better future. We recognise that it is our employees that are central to everything we do. We aim to create a supportive working environment where employees can achieve their full potential and achieve a healthy work-life balance.

Disability Confident

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

Following successful completion of your apprenticeship, you may be able to apply for a full-time position within the organisation (if available) or externally, as well as consider further apprenticeship opportunities.

Ask a question

The contact for this apprenticeship is:

Staffordshire County Council

Kate Roberts-Clegg

kate.roberts-clegg@staffordshire.gov.uk

The reference code for this apprenticeship is VAC2000035645.

Apply now

Closes in 11 days (Friday 19 June 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.