Data Technician Apprentice (Sales Support)
D-Energi
MANCHESTER (M40 5AG)
Closes on Friday 31 October 2025
Posted on 17 September 2025
Contents
Summary
D-ENERGi is an award winning & investors in people company, with us you will have above average earning potential; our apprenticeship program is well established and gives you the essential skills to build a thriving and rewarding career with us. We’ll provide you with a comprehensive induction programme, with coaching and training as standard.
- Wage
-
£14,722.50 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 08:30hrs to 17:00hrs
37 hours 30 minutes a week
- Start date
-
Monday 3 November 2025
- 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
- Ensuring all sales contracts are processed accurately and in a timely manner.
- Validating customer records.
- Preparing customer quotations.
- Pricing contracts.
- Entering data into the database.
- Working with the business analyst to ensure that reports are completed in a timely manner.
- Provide general support and administration to the sales and business teams.
Where you'll work
UNIT D
MADISON PLACE
NORTHAMPTON ROAD
MANCHESTER
M40 5AG
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
VELOCITY 1ST 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
Velocity apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team. Using their expert knowledge, they will provide the skills necessary to succeed in the workplace and to expand future career prospects.
More training information
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their programme.
Requirements
Essential qualifications
GCSE in:
- English (grade 4)
- Maths (grade 4)
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
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- Non judgemental
- Patience
About this employer
D-ENERGi is a trusted Ofgem registered Business Gas Supplier and Business Electricity Supplier. Incorporated in 2002, we have become one of the longest established and well respected UK independent business energy suppliers. Our customer portfolio ranges from individual care homes to larger care home groups, as well as specialised sectors such as education, hospitality, manufacturing, and retail. We help large, medium and small businesses by offering smart meters installations and reducing their overall business energy costs With our competitive pricing and bespoke business energy rates, we ensure you get the best business energy deals across the UK.
https://www.d-energi.com/ (opens in new tab)
Company benefits
Free Pizza Days, Free Tea & Coffee, Free Breakfast.
After this apprenticeship
The role offers long term security and the opportunity to progress into a permanent position.
Ask a question
The contact for this apprenticeship is:
VELOCITY 1ST LIMITED
Ivana Mohilova
ivana@velocity-academy.co.uk
The reference code for this apprenticeship is VAC1000342523.
Apply now
Closes on Friday 31 October 2025
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