Customer Support Technician Apprentice

APCRM LIMITED

CHAPELTOWN (S35 2PY)

Closes in 27 days (Wednesday 1 July 2026)

Posted on 4 June 2026

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Summary

We are looking for a dynamic Customer Support Technician Apprentice to join our close knit, friendly team! This is a fantastic opportunity for someone who excels at building strong relationships, understanding customer needs, and providing outstanding service, while making a direct contribution to APCRM’s mission.

• Wage:

  £22,000 a year

  Minimum wage rates (opens in new tab)

  £22,000 - £24,000 per annum

• Training course: Data technician (level 3)
• Hours: Days and shifts to be confirmed.

  35 hours a week

• Start date:

  Wednesday 8 July 2026

• 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

• Customer support: Communicate and provide support to our client base across the UK. Our support desk provides real time help to over 3,500 users
• Collaborate: Work closely with other members of the team to ensure our clients receive the best possible service. A whole-team approach to product development makes this a stimulating and dynamic team to be a part of, offering plenty of opportunities to grow, learn, and develop
• Customer success: Customer success is a key part of our business, maintaining strong relationships with customers and retaining loyalty by suggesting fresh new ways to keep users engaged with Agency Pilot CRM

Where you'll work

UNIT 6B
SHEFFIELD S35A BUSINESS PARK
CHURCHILL WAY
CHAPELTOWN
S35 2PY

Training

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

Training provider

QA 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

Why choose AI & Digital Support?

This programme brings together AI, Microsoft Copilot and broader digital skills to provide support and advice to users across a wide range of business software and Generative AI applications, enhancing digital transformation and increasing AI literacy across your organisation.

• Accelerate AI adoption
• Streamline productivity
• Champion innovation

The AI & Digital Support programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts.

Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments.

Apprentices will learn to use a variety of tools and technologies, including:

• Microsoft 365
• Microsoft Copilot
• SaaS (Software as a Service) applications.

Requirements

Essential qualifications

GCSE in:

• 3 of any subject (grade 4+ (A* - C))
• Maths & English (grade 3+ (D or above))

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

About this employer

Agency Pilot CRM are a software company based in Chapeltown, Sheffield. Our feature product is a comprehensive client relationship management (CRM) system used predominantly by commercial property professionals.

Company benefits

• A friendly, welcoming and supportive culture
• Competitive salary
• 20 days holiday plus bank holidays
• Financed charity events

After this apprenticeship

• 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC2000034964.

Apply now

Closes in 27 days (Wednesday 1 July 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.