Data ICT Technician Apprentice (STEP Academy Trust)

STEP ACADEMY TRUST

Thornton Heath (CR7 6DL)

Closes in 14 days (Friday 7 November 2025 at 11:59pm)

Posted on 23 October 2025


Summary

You will work closely with our Data and ICT team in a supportive, mission and values driven organisation. This is a role that will see the successful candidate learning how to undertake Data and ICT duties to ensure the continuous support of teaching and learning.

Wage

£18,478 a year

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Salary: £18,478 PA (£19,503pa FTE)

Training course
Data technician (level 3)
Hours
Monday - Friday 8.00 am - 4.00 pm- 36 hours per week, term time plus 3 weeks.

36 hours a week

Start date

Monday 17 November 2025

Duration

1 year 6 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

Specific Duties: 

  • Acting as a point of contact for ICT issues.
  • Working within the Data team to compile reports.
  • To support the management and maintenance of the academies’ networks.
  • Handling, integrating and preparing raw data from various sources and formats.
  • Identifying and addressing data quality issues.
  • Preparing data for analysis.
  • Producing and presenting reports and visualisations for a range of audiences.
  • Maintenance and cleaning of computers, front of class screens and projectors.
  • Install and maintain software systems as required.
  • Stock control and upkeep of related records and inventory.
  • Record all procedures and processes in detail to aid staff knowledge.
  • Maintain internet access, websites used and grant relevant permissions.
  • Maintain network, internet and email logins.
  • Diagnose and resolve hardware, software and end user problems.
  • Manage and develop use of mobile devices, including any related apps that support teaching and learning.
  • Application of theft deterrent markings to all existing and new equipment as necessary.
  • Undertake periodic safety checks on equipment and materials.
  • Work with teachers to ensure ICT skills are utilised across the curriculum.
  • Knowledge of the applications used across all year groups and within all curriculum areas.
  • Manage anti-virus software.

 It is also expected that you will be able to: 

  • Exercise confidentiality and discretion at all times
  • Work using your own initiative within school times
  • Assist school staff with resources when required
  • Be enthusiastic in developing own expertise and skills
  • Undertake any other duties as required by the ICT team
  • Undertake professional training and qualifications

Where you'll work

Gonville Road
Thornton Heath
CR7 6DL

Training

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

Training provider

ESTIO TRAINING 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

Estio apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.

Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.

Successful completion of this apprenticeship gives you an accredited Level 3 Data Technician, with training in how to:

  • Identify the right data sources for your business to inform decision making.
  • Collect, compile and cleanse data accurately and securely.
  • Identify, analyse and interpret data, trends, and patterns. 
    Produce dashboards and reports to aid visualisation and comparison. 
  • Summarise and present the results of data analysis, making recommendations for business improvement.
  • Store and archive data in line with data protection legislation.

Requirements

Essential qualifications

GCSE in:

5 GCSE's including English Language and Maths (grade (A*-C/9-4 or equivalent))

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • Organisation skills
  • Team working
  • Literacy & Numeracy skills
  • Able to work on own initiative
  • Motivated
  • Willingness to learn
  • Committed to self-development
  • Good listener
  • Confident
  • Flexible & adaptable
  • Socially adept
  • Creative & innovative

About this employer

STEP Academy Trust was established in 2011, starting with its founder primary school, Gonville Academy. The Mission of the Trust, to improve the life chances of all children, where we have the capacity to make a difference, we are morally bound to so, is what binds the Trust together as one, STEP First. Our unique way of operating as one organisation across multiple sites allows an agreed level of consistency, STEP Way, and support, STEP Up, which enables all children to access the highest level of education.

https://www.stepacademytrust.org/who-we-are/welcome-from-our-ceo (opens in new tab)

Company benefits

• Excellent professional development and promotion opportunities • Membership to perkbox discount scheme • Subsidised private health care with benenden • A free school lunch when working in school

After this apprenticeship

The opportunity may offer a permanent role upon completion.

Ask a question

The contact for this apprenticeship is:

ESTIO TRAINING LIMITED

Leia Knights

LeiaKnights@bpp.com

01133500333

The reference code for this apprenticeship is VAC1000347399.

Apply now

Closes in 14 days (Friday 7 November 2025 at 11:59pm)

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