Data Technician Apprentice

SBFM LIMITED

Leeds (LS15 9JL)

Closes in 24 days (Thursday 20 August 2026 at 11:59pm)

Posted on 27 July 2026

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Contents

Summary

The Central Operations & Planning Apprentice supports the day-to-day planning and coordination of SBFM's nationwide field operation while completing a structured apprenticeship programme.

Wage

£18,000 a year

Minimum wage rates (opens in new tab)

Salary will be starting at £18k, moving to £20k once the apprentice has passed their 6 month probation.

Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm

37 hours 30 minutes a week

Start date

Sunday 30 August 2026

Duration

1 year 6 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

Duties and Responsibilities:

Operational Planning:

  • Support the production of daily and forward schedules for Area Supervisors using the Company's planning platform (FLS VISITOUR)
  • Learn how to optimise travel time, workload distribution and colleague utilisation across the field operation
  • Support the planning team in responding to day-to-day operational changes including sickness, emergencies, customer requests and business priorities
  • Develop an understanding of how planning decisions balance contractual priorities, colleague wellbeing and operational efficiency
  • Work alongside the Operations Planning Manager and Planning coordinator to ensure all business requirements are met by the field team
  • Assist with monitoring planning performance and identifying opportunities to improve efficiency

Central Operations Support:

  • Support the mobilisation of new customer contracts through planning and operational coordination
  • Assist in producing operational reporting and performance analysis using Microsoft Excel
  • Support continuous improvement initiatives across Central Operations
  • Learn how planning software and technology support operational delivery, working alongside software suppliers where appropriate.
  • Assist with maintaining operational procedures, documentation and best practice
  • Support the implementation of new technologies and operational processes as part of ongoing business improvements

Collaboration and Teamwork:

  • Build positive working relationships with the Operations Planning Manager, Regional Operations Managers, Area Supervisors, Account Managers and colleagues across the business
  • Support colleagues by responding promptly to operational requests appropriate to the role
  • Participate in team meetings, training sessions and apprenticeship learning activities
  • Demonstrate a willingness to learn, seek feedback and continually develop knowledge and skills
  • Support wider Central Operations activities as required

Qualifications and Skills:

Essential:

  • GCSE Grade 4/C or above (or equivalent) in English and maths
  • Good organisational skills with strong attention to detail
  • A positive attitude with a willingness to learn and develop
  • Strong communication and interpersonal skills
  • Comfortable using technology and learning new systems
  • Basic Microsoft Office skills
  • Ability to prioritise tasks and work effectively within a team
  • A proactive, flexible approach to work

Desirable:

  • A Levels, T Level, BTEC or equivalent qualification
  • Experience using Microsoft Excel

Where you'll work

Bullerthorpe Lane
Leeds
LS15 9JL

Training

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

Training provider

LEEP TALENT 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

  • Data Technician Level 3 Apprenticeship Standard
  • You will also receive full training and support from the Leep Talent Apprenticeship Team to increase your skills

Requirements

Essential qualifications

GCSE in:

  • English (grade 4/C and above)
  • Maths (grade 4/C and 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
  • IT skills
  • Attention to detail
  • Organisation skills
  • Customer care skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Patience

About this employer

SBFM (Sustainable Business Facilities Management) is a facilities services provider. We deliver commercial cleaning, catering, security, and building maintenance. SBFM uses data-driven technology and sustainability practices to service offices, logistics sites, and corporate space

https://sb-fm.co.uk/ (opens in new tab)

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

  • Potential full time position for the right candidate after completion of the apprenticeship

Ask a question

The contact for this apprenticeship is:

LEEP TALENT LIMITED

The reference code for this apprenticeship is VAC2000045050.

Apply now

Closes in 24 days (Thursday 20 August 2026 at 11:59pm)