Digital Support Technician Apprentice

EURO DIGITAL SYSTEMS LTD

MANCHESTER (M17 1SG)

Closes in 29 days (Saturday 17 October 2026)

Posted on 17 September 2026


Summary

Are you passionate about technology and enjoy helping people solve problems? Euro Digital Systems is looking for a Digital Support Technician Apprentice to join their team and develop valuable IT skills while gaining hands-on experience in a real working environment.

Wage

£15,600 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday, Full-time position. Exact shifts TBC.

37 hours 30 minutes a week

Start date

Tuesday 17 November 2026

Duration

1 year 4 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

  • Set up and configure new printers/photocopiers
  • Refurb used printers/photocopiers for re-sale
  • Update firmware and install client data into the devices pre installation
  • Run checks and diagnostics on newly set up and refurbished devices
  • Assist on installs when required
  • Work from a scheduled database to ensure that all devices are set up and completed on time

Where you'll work

ENTERPRIZE HOUSE
GUINNESS ROAD
TRAFFORD PARK
MANCHESTER
M17 1SG

Training

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

Training provider

NOWSKILLS 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.

More training information

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

Requirements

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
  • Customer care skills
  • Problem solving skills
  • Team working
  • Initiative

Other requirements

  • A genuine interest in IT, technology and digital systems
  • Good communication and customer service skills
  • A willingness to learn new skills and develop your technical knowledge
  • Good problem-solving skills and a logical approach to challenges
  • The ability to work well as part of a team and independently
  • A positive attitude, reliable and willing to take on new challenges
  • Good organisational skills and attention to detail
  • Basic knowledge of computers and Microsoft Office would be an advantage, but is not essential

About this employer

Whether you’re a small to medium enterprise, or a proud market leader you can be assured that Euro Digital Systems can provide the right solution for you. We have a proven track record within the B2B marketplace and the education sector and we are focused on rising to meet and exceed new challenges, to improve our services. We constantly monitor and review our operations to highlight any areas for potential improvement which in-turn helps to make our customer’s experiences better.

https://www.eurodigitalsystems.co.uk/ (opens in new tab)

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab)

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

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

The reference code for this apprenticeship is VAC2000054090.

Apply now

Closes in 29 days (Saturday 17 October 2026)

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