Data Technician Apprentice

VELOCITY 1ST LIMITED

Stockport (SK6 2QR)

Closes in 26 days (Monday 8 June 2026 at 11:59pm)

Posted on 12 May 2026

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Summary

We are currently looking for a motivated and well-organised Contracts Coordinator / Estimator to become part of our team. This full-time role offers excellent opportunities for career progression and ongoing professional development.

Wage

£17,680 a year

Minimum wage rates (opens in new tab)

The pay may be negotiated and may rise after a probation period has been successfully completed.

Training course
Data technician (level 3)
Hours
Monday- Friday 8am- 5pm

40 hours a week

Start date

Monday 15 June 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

  • Preparing and updating operational documentation, including safety and compliance records 
  • Maintaining accurate records and inputting data using Excel and internal systems 
  • Coordinating schedules for staff, equipment, and site resources 
  • Communicating with customers and suppliers to ensure smooth project delivery
  • Producing service reports, job summaries, and client billing documentation 

Where you'll work

Whitefield Road
Bredbury
Stockport
SK6 2QR

Training

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

Training provider

VELOCITY 1ST 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

  • Velocity apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team
  • Using their expert knowledge, they will provide the skills necessary to succeed in the workplace and to expand future career prospects
  • Throughout the apprenticeship, learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their programme

Requirements

Essential qualifications

GCSE in:

  • English (grade A*-C/9-4 or equivalent)
  • Maths (grade A*-C/ 9-4)

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
  • Customer care skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative

Other requirements

  • Driving licence 
  • Interest in engineering or building construction

About this employer

Specialist UK contractor providing steeplejack, rope access, industrial maintenance, inspection, and repair services for high-level structures across a range of industrial sectors.

After this apprenticeship

  • The role offers long term security and the opportunity to progress into a permanent position

Ask a question

The contact for this apprenticeship is:

VELOCITY 1ST LIMITED

Ivana

ivana@velocity-academy.co.uk

The reference code for this apprenticeship is VAC2000031025.

Apply now

Closes in 26 days (Monday 8 June 2026 at 11:59pm)