Summary
Working for a large and respected aggregates company based at their Grimsby site, you will have the opportunity to grow and develop within the organisation whilst being supported by experienced professionals. If you are organised, detail-oriented, and passionate about making a difference then we want to hear from you.
Wage
£15,000 a year
Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm.
38 hours a week
Start date
Tuesday 13 January 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
Step into a role where every day is different and you’re right at the heart of keeping a busy operation running smoothly. You will receive full training on your duties which include but are not limited to:
* Answering queries via telephone and escalating where required
* Completing Customer Tickets (Aggregates / Concrete / Weighbridge / Sweeper)
* Daily Internal Journal Entries
* Daily Movements Log of Customer Jobs onto Shared Sheet
* To cover Weighbridge when required
* Generating Proforma Sales Invoices
* Taking Card Payments over the Phone
* Dealing with Sales Invoice Queries
* Email management
* Ordering Stationery & Kitchen Supplies
* Road Fund Tax Admin
* Meter Readings
* CIS and Aggregate Levy Returns
* Coding Invoices + Posting Supplier Invoices onto SAGE 200
* New Supplier Accounts
* Matching Tickets to Invoices
Where you'll work
Estate Road 2
South Humberside Industrial Estate
Grimsby
DN31 2TG
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
AVANT PARTNERSHIP 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
As part of the Level 3 Data Technician Apprenticeship Standard, you will learn the knowledge, skills and behaviours which will support you for your end-point assessment.
You will take part in a combination of activities, such as face-to-face classroom-based sessions, work shadowing and online learning, to support your learning and development and compile a portfolio of evidence.
The successful candidate will be required to undertake training sessions with Avant Skills Academy every other week throughout the length of the apprenticeship.
At the end of the on-programme learning, you will be required to undertake an End-Point Assessment (EPA) to demonstrate you have met the occupational standard.
More training information
Avant Skills Academy is a leading provider of pre-apprenticeship and apprenticeship programmes, awarded 'Expert Apprenticeship Provider' status by the Department for Education. We deliver Apprenticeship training across Grimsby and North East Lincolnshire, Hull and East Yorkshire in a range of occupational sectors including Content Creation, Data, Hairdressing, Management and Marketing. We are proactive, passionate and committed, and we pride ourselves on our achievements and the success of our learners.
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
* IT skills
* Attention to detail
* Organisation skills
* Customer care skills
* Problem solving skills
* Administrative skills
* Number skills
* Analytical skills
* Logical
* Initiative
* Patience
* Methodical