IT & Security Apprentice

Dals

STRETFORD (M32 0FP)

Closes on Friday 3 April 2026

Posted on 13 February 2026

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Summary

The IT & Security Apprentice will provide IT support, acting as the first point of contact for user queries. This includes password management, basic troubleshooting, responding to service requests, and completing introductory cyber security tasks. 

Wage

£14,722.50 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Check minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday - Friday 9am - 5.30pm with 60 min break. Hybrid working, 3 days in office, 2 days at home

37 hours 30 minutes a week

Start date

Monday 4 May 2026

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

  • Provide first line IT support 
  • Accurately log, prioritise and manage incidents and service requests
  • Assist with hardware and software set up
  • Support cyber security activities
  • Follow IT processes and policies
  • Contribute to a secure and efficient IT environment

Where you'll work

FOURTH FLOOR
STATHAM HOUSE
TALBOT ROAD
STRETFORD
M32 0FP

Training

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

Training provider

THE GROWTH COMPANY 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/C)
  • Maths (grade 4/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
  • IT skills
  • Attention to detail

About this employer

At Dals, we enable people and organisations to tackle critical language challenges every day. Our interpreting and translation services cover more than 500 languages, including BSL and other non-spoken languages. We connect clients and their service users with crucial expertise whenever and wherever they need it—because the world is a better, fairer place when everyone is understood.

Our people are our future, and we take care of them. Through community partnerships and social value initiatives, we continuously work to ensure Dals has a positive impact on the world.

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

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

Progress into more roles within IT & Security. Opportunities to complete further qualifications. 

Ask a question

The contact for this apprenticeship is:

THE GROWTH COMPANY LIMITED

The reference code for this apprenticeship is VAC2000015533.

Apply now

Closes on Friday 3 April 2026

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