Recruitment and Data Apprentice
CAREERMAKERS RECRUITMENT (UK
Manchester (M4 1LE)
Closes in 18 days (Tuesday 3 March 2026)
Posted on 11 February 2026
Contents
Summary
We are looking for a driven and commercially focused HGV Recruitment Consultant to manage the end-to-end recruitment process for Heavy Goods Vehicle (HGV) drivers and logistics staff. This role combines sales, client management, and candidate delivery within the fast-paced transport and logistics sector.
- Wage
-
£15,704 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 08:00-17:00
40 hours a week
- Start date
-
Friday 3 April 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
You will learn how to:
- Develop new business within the transport and logistics sector
- Identify hiring needs and promote recruitment solutions
- Conduct client meetings (on-site & virtual)
- Negotiate terms of business and rates
- Maintain and grow existing client accounts
- Source HGV drivers via job boards, referrals, social media, and database
- Screen candidates for licence validity, CPC, tacho cards, and experience
- Conduct interviews and compliance checks
- Match drivers to suitable assignments
- Manage availability, bookings, and shift confirmations
- Ensure all drivers meet legal and industry compliance standards
- Maintain accurate records of licences, CPC certificates, right-to-work, and ID
- Follow driver hours and Working Time Directive requirements
- Use CRM/ATS systems to manage pipelines and records
- Creating spreadsheets based upon candidate figures (how many come in from each area? Etc) and sending to the branch manager
- Fill bookings quickly, including last-minute and out-of-hours requests
- Handle rota planning and shift cover
- Resolve client and driver issues professionally
- Maintain high fill rates and service levels
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.
Training provider
NOWSKILLS 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
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
- Team working
- Initiative
- Target-driven mindset
- Time management
- Confident negotiating
- Full UK Driving License
Other requirements
Desirable Experience:
- Previous experience in recruitment (agency preferred) OR
- Experience in transport/logistics planning or driver coordination
- Understanding of HGV driver requirements (Class 1, Class 2, CPC, tacho)
- Proven ability to work in a fast-paced environment
Skills & Attributes
- Strong communication and relationship-building skills
- Resilient, target-driven mindset
- Excellent organisational and time management skills
- Ability to prioritise urgent bookings
- Problem-solving under pressure
- Confident negotiating rates and terms
Desirable:
- Existing client or driver network in logistics
- Knowledge of driver hours legislation
- Experience with CRM or recruitment systems
- Excel/Spreadsheet experience
- Driving licence (for client visits if possible)
About this employer
Careermakers is one of the fastest growing employment agencies that cultivates the best talent and vacancies using our nationwide reach.
While spearheading opportunities from our head office in the Northwest, we unlock potential in all our candidates as we nurture uninterrupted growth for our clients.
After this apprenticeship
The successful candidate may be offered full-time employment.
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000012493.
Apply now
Closes in 18 days (Tuesday 3 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.