Summary

Palmers is looking for a Data Technician Apprentice to join their team. This is a fantastic opportunity to gain valuable hands-on experience, develop your data skills and build a career within an established and respected organisation.

Wage

£15,600 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Training course

Data technician (level 3)

Hours

Monday to Friday, 9.00am - 5.00pm.

37 hours 30 minutes a week

Start date

Saturday 2 January 2027

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

SharePoint Development: Metadata, document migration, library organisation and supporting the wider rollout.
IMS and Document Control: Document registers, naming conventions, reference systems, revision control and general administration.
PPQs and Compliance: Collating evidence, maintaining accreditation records and supporting submissions.
Assurance: Audit preparation, evidence gathering, action tracking and compliance records.
Operational QHSE: Progressive support with reporting, records management and routine compliance administration.
Shadow Andrew, transferring knowledge while developing an understanding of our systems and compliance requirements.
Provide five-day continuity
Increase capacity to progress SharePoint and IMS improvements, potentially bringing forward the planned rollouts.
Working on technical compliance and assurance activities.
Develop a capable individual around standards, systems and work place expectations.
Build internal digital and compliance capability, potentially extending into Microsoft Lists, Power Automate and wider process improvements.
Improve business continuity and reduce reliance on individual knowledge.
Establish a potential future Compliance Coordinator or Digital Compliance Specialist who can support the wider business.

Where you'll work

Business Aviation Centre
Aviation Park
Chester
CH4 1AA

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)

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 training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

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
Organisation skills
Problem solving skills
Administrative skills
Number skills
Team working

Data Admin Apprentice

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