Data Technician Apprentice

Summary

CareerMakers Recruitment is excited to offer an excellent opportunity for aspiring tech professionals to begin their journey as a Data Technician Apprentice. This apprenticeship is perfect for someone who’s passionate about data, eager to learn, and ready to develop real-world skills while gaining industry-recognised qualifications.

Wage

£15,704 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Check minimum wage rates (opens in new tab)

Training course

Data technician (level 3)

Hours

Monday - Friday, 8.00am - 5.00pm

40 hours a week

Start date

Wednesday 6 August 2025

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

Greeting candidates when they come in
Assisting with queries, passing on to corresponding division
Answering/forwarding calls
Inputting data
Collecting/chasing candidate document
Creating spreadsheets based upon candidate figures (how many come in from each area? Etc) and sending to the branch manager
Handling any further tasks provided by branch manager
Maintain a stock count for the PPE stock room (ensure consultants complete the PPE forms and count stock to prepare for new orders)
Direct visitors to meeting rooms when necessary
Create bags of merchandise for consultants/BDMs to use for client visits

Where you'll work

Oldham St
Manchester
M4 1LE

Training

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

College or training organisation

NOWSKILLS LIMITED

Your training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.
Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.

Your training plan

Data Technician Level 3 Apprenticeship Standard

More training information

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

Requirements

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
Organisation skills
Team working
Initiative
Excel/spreadsheet experience

About this company

Careermakers are amongst the top recruitment agencies in the Northwest due to excellent client service, satisfaction and retention. Careermakers have a friendly yet professional approach to finding staff for Clients and finding work for Candidates. We understand our clients and candidates' individual needs, which is a quality that sets us above industry standards. Careermakers have highly trained consultants who are dedicated to providing you with the best results. We aspire to provide bespoke, cost effective and added value recruitment to all companies and organisations across the Northwest.

https://www.career-makers.co.uk/ (opens in new tab)

After this apprenticeship

The successful candidate may be offered full-time employment

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