Data Technician Apprentice
WISKA
St. Columb (TR9 6SX)
Closes in 30 days (Sunday 30 November 2025)
Posted on 30 October 2025
Contents
Summary
If you’re methodical, patient with repetitive tasks and keen to build a career working with data, this is an excellent opportunity. You don’t need industry knowledge or technical expertise to start – just a positive attitude, willingness to learn and the drive to grow your skills in a professional, friendly, workplace.
- Wage
-
£20,280 a year
- Training course
- Data technician (level 3)
- Hours
-
Working Pattern: Monday to Friday 08:30 to 17:00 (16:00 on a Friday)
39 hours a week
- Start date
-
Monday 5 January 2026
- Duration
-
2 years
- 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
- Support the roll-out of a new Product Information Management (PIM) system.
- Upload, categorise and maintain product information so it’s accurate, consistent and easy to use.
- Prepare and organise data from multiple sources, checking for errors and inconsistencies.
- Standardise data formats and ensure records are complete.
- Create simple reports to track progress and highlight trends.
- Work closely with colleagues across different departments to understand their needs and share accurate data.
- Stay curious – learning new tools, best practice and ways to make data management more efficient.
Where you'll work
Unit 7
Hurling Way, St. Columb Major Business Park
St. Columb
TR9 6SX
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
REMIT GROUP 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 offers a fantastic opportunity to gain hands-on experience in a supportive role, while being paid to learn. You’ll spend part of your working week attending online classes, completing modules and gaining recognised certificates - all funded by the employer - and then immediately apply that learning in your day-to-day role.
In this job you'll study towards the Level 3 Data Technician apprenticeship where you'll receive upto £12,000 worth of training. Over the 18-month programme you’ll build skills in:
- Data collection, cleaning and preparation.
- Using digital tools to identify trends and insights.
- Presenting information clearly through reports and visuals.
- Understanding how data underpins business decisions.
You’ll be supported every day by friendly colleagues who know their stuff and want you to succeed. You'll also complete Functional Skills in English and maths if required. On completion, it’s highly likely a permanent role will be available within WISKA, along with further progression opportunities.
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
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Analytical skills
- Logical
- Team working
- Patience
Other requirements
Must be able to drive to work because of location.
About this employer
WISKA UK Ltd is a leading manufacturer and supplier of electrical installation materials, lighting and CCTV solutions, serving industries from marine and offshore to construction and manufacturing. As part of a global company, WISKA UK prides itself on combining technical excellence with a friendly, family-run culture. Apprentices joining WISKA will become part of a supportive team where innovation, quality and customer care are at the heart of everything they do. It’s an opportunity to learn from experienced professionals, gain hands-on skills, and build a career within a forward-thinking company committed to developing the next generation of talent.
After this apprenticeship
On completion, it’s highly likely a permanent role will be available within WISKA, along with further progression opportunities.
Ask a question
The contact for this apprenticeship is:
REMIT GROUP LIMITED
The reference code for this apprenticeship is VAC1000348925.
Apply now
Closes in 30 days (Sunday 30 November 2025)
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