Apprentice Data Technician

Summary

The Data Technician will play a crucial role in the development, implementation, and maintenance of various types of data and information systems. The ideal candidate will have strong analytical skills, attention to detail, and the ability to communicate data insights effectively.

Wage

£18,500 a year

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Annual Salary

Training course

Data technician (level 3)

Hours

Monday - Friday, Shifts to be confirmed.

37 hours 30 minutes a week

Start date

Sunday 31 August 2025

Duration

1 year 9 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

This position involves managing engine orders, inventory of associated parts, engine test and flight test data, business data, and implementing a Quality Management System document library compliant with ISO9001 and AS9100 standards.

Key responsibilities include:

Engine Order Management
Test Data Management
Business Data Management
Quality Management System
Maintaining a Quality Management System
Provide Project Management Tools
Present Data
Maintain compliance to support and communicate business outcomes

Where you'll work

Unit 74 Burners Lane
--
Milton Keynes
Buckinghamshire
MK11 3HD

Training

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

College or training organisation

MILTON KEYNES COLLEGE

Your training course

Data technician (level 3)

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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

Requirements

Essential qualifications

GCSE in:

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

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

Technical Skills
Analytical Skills
Attention to Detail
Communication Skills
Team Collaboration
Ethical Standards
IT Skills.

Other requirements

Ideally have own transport. Driving License preferred as travel to workplace is required.

About this company

Greenjets is an SME company breaking new ground in the innovative world of propulsion systems for unmanned aircraft. We are active in both R&D, including aircraft and other associated systems, and commercial production of propulsors. Our mission is to revolutionize the aerospace industry with cutting-edge technology and innovative solutions.

After this apprenticeship

This apprenticeship opens the door to a future in data-driven innovation
You’ll gain hands-on experience working with real-time engineering and operational data, supporting cutting-edge aerospace projects
From data collection and analysis to reporting and insight generation, you’ll build a strong foundation in technical and analytical skills
Successful apprentices can progress into roles such as Data Technician, Data Analyst, or even specialise in aerospace data systems as Greenjets continues to grow

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