Data Technician Apprentice
BAILEY INTERNATIONAL STEEPLEJACK COMPANY LTD
MACCLESFIELD, Stockport
Closes in 27 days (Monday 1 June 2026)
Posted on 5 May 2026
Contents
Summary
We are seeking a detail-oriented and organised Contracts Coordinator / Estimator to join our team. This is a full-time position with opportunities for growth and development.
- Wage
-
£17,680 a year
- Training course
- Data technician (level 3)
- Hours
-
8am – 5pm Monday – Friday.
40 hours a week
- Start date
-
Wednesday 1 July 2026
- Duration
-
1 year 3 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
- Preparation and maintenance of project documentation - Risk Assessment, Method Statements, CoSHH Assessments
- Data entry in Excel
- Planning for personnel, equipment, and materials required at client sites
- Liaising with clients
- Compiling inspection reports and invoices
Where you'll work
You can select which locations you want to apply for in your application on Find an apprenticeship.
This apprenticeship is available in these locations:
- BAILEY BUSINESS PARK, GRIMSHAW LANE, BOLLINGTON, MACCLESFIELD, SK10 5NY
- 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
NOWSKILLS 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
More training information
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Requirements
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Team working
- Initiative
Other requirements
- Basic IT skills
- Driving license REQUIRED
- Suitable for those with previous contracting experience and those new to the industry. Full training provided
- Suitable for individuals with university, college, or government training scheme education
- Interest in engineering or building construction
About this employer
We pride ourselves on getting the job done right, on time and without the hassle. No matter what your company needs, it’s important to us that you’re happy with the work we do. We do everything we can to make sure that your contracts are completed right, on time, and without the hassle.
Our highly trained and experienced team of specialist steeplejacks and Lightning Conductor /Earthing engineers carry out a full range of services where access to tall structures is involved. From new installations, regular inspections through to minor repair, major refurbishment and demolition, we can provide a safe, comprehensive solution.
After this apprenticeship
The successful candidate may be chosen to have a full-time role after completing their apprenticeship.
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000029607.
Apply now
Closes in 27 days (Monday 1 June 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.