I.T. Data Technician Apprentice

BRUSH Group

Leicestershire (LE11 1EX)

Closes on Friday 31 July 2026

Posted on 11 June 2026

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Summary

Are you looking to build a long-term career in Data? Then look no further! Start your career today with a level 3 with BRUSH Group and Kaplan. You will be dealing with data, reports and quality assurance whilst working towards the Data User Level 3 qualification.

Wage

£19,000 a year

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Shifts to be confirmed.

37 hours a week

Start date

Monday 7 September 2026

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

Job Duties include:

  • Source, format and present data securely in a relevant way for analysis using appropriate methods
  • Communicate outcomes appropriate to the audience; analyse structured and unstructured data to support the business
  • Blend data from multiple sources as directed and learn and apply legal and ethical principles when manipulating data
  • Interact with a wide range of stakeholders including colleagues, managers, customers and internal and external suppliers
  • Responsible for collecting and processing data under the guidance of colleagues, managers or team members across the business
  • Developing data collection systems
  • Collecting and extracting relevant data
  • Cleaning data and resolving data errors
  • Ensuring data accuracy
  • Analysing data, including complex data manipulation
  • Carrying out quality assurance
  • Visualising data
  • Creating data reports and presentations
  • Keeping data secure according to policies and procedures
  • Problem solving – identifying trends and anomalies in business data
  • Support other data / business team members in data activities, identifying data for projects
  • System maintenance – involved in central data platform management

Where you'll work

Nottingham Road Loughborough
Leicestershire
LE11 1EX

Training

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

Training provider

KAPLAN FINANCIAL 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 apprenticeship provides your employees with fundamental capabilities crucial for navigating and leveraging data effectively within your organisation, allowing them to understand insights, foster transformation, and gain a competitive edge.
  • Data Analysis Fundamental
  • Data Literacy and Generative AI Introduction
  • Data Analysis and Visualisation with Excel
  • Databases and Data Modelling
  • Data Challenge and EPA Readiness Our apprenticeships are uniquely designed to offer unparalleled support for both employers and learners. We provide expert-led, practical training and simulations that build transferable digital skills and instill a growth mindset - essential for effectively leveraging technology

Requirements

Essential qualifications

GCSE in:

  • English (grade 9/A* - 4/C)
  • Maths (grade 9/A* - 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
  • Organisation skills
  • Attention to detail
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Analytical skills
  • Logical
  • Team working

About this employer

BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. ​ We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050.

Company benefits

171 hours annual holiday plus Christmas shutdown. Defined contribution pension scheme max 4.5% employee 7% employer contributions. BRUSH Rewards, Cycle to Work scheme. Employee Assistance Programme.

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

  • Progression to I.T. Data Specialist, Applications Engineer, Infrastructure Engineer

Ask a question

The contact for this apprenticeship is:

KAPLAN FINANCIAL LIMITED

Kaplan

kaplan.recruitment@kaplan.co.uk

0161 259 7400

The reference code for this apprenticeship is VAC2000036607.

Apply now

Closes on Friday 31 July 2026

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