Data Technician Apprenticeship

NET PLATES LTD

Solihull (B90 4QT)

Closes in 31 days (Friday 25 September 2026)

Posted on 25 August 2026

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Summary

Netplates.co.uk stands as an e-commerce enterprise specialising in the purchase and sale of personalised cherished registrations within the United Kingdom. Our focus lies in delivering vehicle registration numbers tailored to your specific needs. Every customer is treated uniquely, emphasising personalised customer service and competitive pricing.

• Wage:

  £18,720 a year

  Minimum wage rates (opens in new tab)

• Training course: Data technician (level 3)
• Hours: Monday to Friday

  40 hours a week

• Start date:

  Monday 28 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

Netplates is looking for a detail-oriented and analytical Data Technician Apprentice to join their team. This is an exciting opportunity to develop strong data, reporting, and analytical skills while gaining valuable exposure to company accounts and financial processes. 

You will support the business by collecting, organising, and analysing data to help improve performance, efficiency, and decision making across departments. 

Key Responsibilities 

• Collecting, inputting, and maintaining accurate company data 
• Assisting with data analysis and generating reports for management 
• Supporting the preparation of performance dashboards and KPI reports 
• Ensuring data quality, consistency, and compliance 
• Assisting with basic financial data entry and reconciliation tasks 
• Supporting accounts processes, including invoice tracking and payment records 
• Identifying trends or discrepancies within datasets 
• Maintaining confidentiality of financial and company information

Where you'll work

267 Cranmore Boulevard
Solihull
B90 4QT

Training

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

Training provider

METAGEDU APPRENTICESHIPS LTD

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

Data Technician 

Requirements

Essential qualifications

GCSE in:

• Maths (grade 4-9)
• English (grade 4-9)

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
• Organisation skills
• Problem solving skills
• Number skills
• Analytical skills

Other requirements

Pension and employer discounts

About this employer

Netplates.co.uk stands as an e-commerce enterprise specialising in the purchase and sale of personalised cherished registrations within the United Kingdom. Our focus lies in delivering vehicle registration numbers tailored to your specific needs. Every customer is treated uniquely, emphasising personalised customer service and competitive pricing.

After this apprenticeship

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

Level 3 Data Technician

Ask a question

The contact for this apprenticeship is:

METAGEDU APPRENTICESHIPS LTD

Sarah Eltaib

seltaib@metagedu.io

07539331828

The reference code for this apprenticeship is VAC2000049974.

Apply now

Closes in 31 days (Friday 25 September 2026)

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