Data Engineer Apprentice

Summary

You will have the opportunity to gain valuable skills, knowledge and experience as you complete a Data Technician - Level 3 Apprenticeship. As a Data Engineer, you’ll be learning how to use, analyse, and communicate data to assist businesses in multiple sectors, working with our existing team, but with the opportunity to build new projects.

Annual wage

£12,000 a year

Minimum wage rates (opens in new tab)

£12,000 - £14,000 per annum

Training course

Data technician (level 3)

Hours

All details will be confirmed at interview

32 hours a week

Possible start date

Monday 11 November

Duration

1 Year 4 Months

Positions available

1

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

Digital product collaboration: using digital tools to collaborate on a project from the early phases of design through to implementation of a finished product.
Data analytics and processing: analysing & combining data from multiple sources and processing it to create reports, structure databases, and plan & design systems.
Data sources and validation: understanding the reliability and validity of data sources and using APIs to obtain up-to-date data.
Web development: developing web-based applications to display data cleanly on both desktop and mobile devices.
Client communication: communicating your results & outcomes to clients, and responding to client queries, within agreed timescales.
Security & compliance: ensuring that all of the above is handled in a secure manner in accordance with relevant UK law.

Where you’ll work

Unit 310 The Workstation

Sheffield

S1 2BX

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

QA LIMITED

Your training course

Data technician (level 3)

Equal to A level

Course contents

Source and migrate data from already identified different sources.

Collect, format and save datasets.

Summarise and explain gathered data.

Blend data sets from multiple sources and present in format appropriate to the task.

Manipulate and link different data sets as required.

Use tools and techniques to identify trends and patterns in data.

Apply basic statistical methods and algorithms to identify trends and patterns in data.

Apply cross checking techniques for identifying faults and data results for data project requirements.

Audit data results.

Demonstrate the different ways of communicating meaning from data in line with audience requirements.

Produce clear and consistent technical documentation using standard organisational templates.

Store, manage and distribute in compliance with data security standards and legislation.

Explain data and results to different audiences in a way that aids understanding.

Review own development needs.

Keep up to date with developments in technologies, trends and innovation using a range of sources.

Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.

Operate as part of a multi-functional team.

Prioritise within the context of a project.

Source and migrate data from already identified different sources.

Collect, format and save datasets.

Summarise and explain gathered data.

Blend data sets from multiple sources and present in format appropriate to the task.

Manipulate and link different data sets as required.

Use tools and techniques to identify trends and patterns in data.

Apply basic statistical methods and algorithms to identify trends and patterns in data.

Apply cross checking techniques for identifying faults and data results for data project requirements.

Audit data results.

Demonstrate the different ways of communicating meaning from data in line with audience requirements.

Produce clear and consistent technical documentation using standard organisational templates.

Store, manage and distribute in compliance with data security standards and legislation.

Explain data and results to different audiences in a way that aids understanding.

Review own development needs.

Keep up to date with developments in technologies, trends and innovation using a range of sources.

Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.

Operate as part of a multi-functional team.

Prioritise within the context of a project.

Your training plan

Why choose our Microsoft Data Essentials apprenticeship?

QA’s Microsoft Data Essentials Level 3 apprenticeship can support your business to be more productive with data and adapt to a modern-day workplace. Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.

QA's Microsoft Data Essentials Level 3 apprentice will learn to:

Source, format and present data securely, using Microsoft Excel, Power BI and SQL.
Analyse structured and unstructured data to support business outcomes
Blend data from multiple sources as directed
Communicate outcomes appropriate to the audience
Apply legal and ethical principles when manipulating data

QA’s Microsoft Data Essential Level 3 apprenticeship programme enables your organisation to:

Build the capabilities you need throughout your organisation to collect, study, organise and present data, increasing digital adoption and the provision of intelligent and valuable business insights
Create and develop analysts for the modern workplace by reskilling your existing talent, or hiring new entry-level talent. QA’s programmes, partnerships and recruitment capability enable us to tailor a solution that works for your business
Provide training that acts as a standalone solution or as part of a wider academy/programme to an array of business functions

Tools and technologies learned: Apprentices will learn to use Microsoft Power BI, Excel and SQL Azure.

Requirements

Essential qualifications

GCSE in:

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

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
IT skills
Attention to detail
Organisation skills
Problem solving skills
Number skills
Logical
Team working

About this company

As a Junior Data Engineer, you’ll be learning how to use, analyse, and communicate data to assist businesses in multiple sectors. You will be following the Data Technician Level 3 Apprenticeship scheme, with an additional certification for Microsoft Excel. Working across multiple projects, this is an exciting opportunity for you to develop your skillset and knowledge in a fast paced, forward-thinking working environment.

https://formdata.uk (opens in new tab)

Company benefits

Flexible working Free Quarter card offering discounts on cinema tickets, food. Half price hot drinks in the cinema & café bar that adjoins our offices.

After this apprenticeship

90% of QA apprentices have secured permanent employment after completing their programme; this is 20% higher than the national average.

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