Apprentice Data Engineer
AVIVA PLC
Surrey Street Norwich, NR1 (BS34 8SW)
Closes in 10 days (Sunday 15 March 2026)
Posted on 25 February 2026
Contents
Summary
In this pathway, you’ll help create secure, reliable and engaging experiences, powered by data. You could be part of a team developing, testing and releasing software that brings ideas to life, automating processes to make things faster and smarter, or working with data to uncover insights that drive better decisions.
- Wage
-
£26,700 a year
- Training course
- Data engineer (level 5)
- Hours
-
Monday to Friday, 9am to 5pm
35 hours a week
- Start date
-
Monday 7 September 2026
- Duration
-
2 years
- 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’ll build tools and systems that turn raw data into meaningful insights. You’ll create software that collects, organises and prepares data so teams can make smarter decisions and deliver brilliant experiences. Along the way, you’ll learn to use a range of tools and programming languages, ensuring information is accurate, secure and accessible; all while growing your technical skills in a supportive environment.
Where you'll work
Surrey Street Norwich, NR1
BS34 8SW
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
CAMBRIDGE SPARK LIMITED
Training course
Data engineer (level 5)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Collate, evaluate and refine user requirements to design the data product.
- Collate, evaluate and refine business requirements including cost, resourcing, and accessibility to design the data product.
- Design a data product to serve multiple needs and with scalability, efficiency, and security in mind.
- Automate data pipelines such as batch, real-time, on demand and other processes using programming languages and data integration platforms with graphical user interfaces.
- Produce and maintain technical documentation explaining the data product, that meets organisational, technical and non-technical user requirements, retaining critical information.
- Systematically clean, validate, and describe data at all stages of extract, transform, load (ETL).
- Work with different types of data stores, such as SQL, NoSQL, and distributed file system.
- Identify and troubleshoot issues with data processing pipelines.
- Query and manipulate data using tools and programming such as SQL and Python. Manage database access, and implement automated validation checks.
- Communicate downtime and issues with database access to stakeholders to mitigate the operational impact of unforeseen issues.
- Evaluate opportunities to extract value from existing data products through further development, considering costs, environmental impact and potential operational benefits.
- Maintain a working knowledge of data use cases within organisations.
- Use data systems securely to meet requirements and in line with organisational procedures and legislation.
- Identify new tools and technologies and recommend potential opportunities for use in own department or organisation.
- Optimise data ingestion processes by making use of appropriate data ingestion frameworks such as batch, streaming and on-demand.
- Develop algorithms and processes to extract structured data from unstructured sources.
- Apply and advocate for software development best practice when working with other data professionals throughout the business. Contribute to standards and ways of working that support software development principles.
- Develop simple forecasts and monitoring tools to anticipate or respond immediately to outages and incidents.
- Identify and escalate risks with suggested mitigation/resolutions as appropriate.
- Investigate and respond to incidents, identifying the root cause and resolution with internal and external stakeholders.
- Identify and remediate technical debt, assess for updates and obsolescence as part of continuous improvement.
- Develop, maintain collaborative relationships using adaptive business methodology with stakeholders such as, business users, data scientists, data analysts and business intelligence teams.
- Present, communicate, and disseminate messages about the data product, tailoring the message and medium to the needs of the audience.
- Evaluate the strengths and weaknesses of prototype data products and how these integrate within an organisation’s overarching data infrastructure.
- Assess and identify gaps in existing tools and technologies in respect of implementing changes required.
- Identify data quality metrics and track them to ensure the quality, accuracy and reliability of the data product.
- Selects and apply sustainable solutions to contribute to net zero and environmental strategies across the various stages of product and service delivery.
- Horizon scanning to identify new technologies that offer increased performance of data products.
- Implement personal strategies to keep up to date with new technology and ways of working.
- Collate, evaluate and refine user requirements to design the data product.
- Collate, evaluate and refine business requirements including cost, resourcing, and accessibility to design the data product.
- Design a data product to serve multiple needs and with scalability, efficiency, and security in mind.
- Automate data pipelines such as batch, real-time, on demand and other processes using programming languages and data integration platforms with graphical user interfaces.
- Produce and maintain technical documentation explaining the data product, that meets organisational, technical and non-technical user requirements, retaining critical information.
- Systematically clean, validate, and describe data at all stages of extract, transform, load (ETL).
- Work with different types of data stores, such as SQL, NoSQL, and distributed file system.
- Identify and troubleshoot issues with data processing pipelines.
- Query and manipulate data using tools and programming such as SQL and Python. Manage database access, and implement automated validation checks.
- Communicate downtime and issues with database access to stakeholders to mitigate the operational impact of unforeseen issues.
- Evaluate opportunities to extract value from existing data products through further development, considering costs, environmental impact and potential operational benefits.
- Maintain a working knowledge of data use cases within organisations.
- Use data systems securely to meet requirements and in line with organisational procedures and legislation.
- Identify new tools and technologies and recommend potential opportunities for use in own department or organisation.
- Optimise data ingestion processes by making use of appropriate data ingestion frameworks such as batch, streaming and on-demand.
- Develop algorithms and processes to extract structured data from unstructured sources.
- Apply and advocate for software development best practice when working with other data professionals throughout the business. Contribute to standards and ways of working that support software development principles.
- Develop simple forecasts and monitoring tools to anticipate or respond immediately to outages and incidents.
- Identify and escalate risks with suggested mitigation/resolutions as appropriate.
- Investigate and respond to incidents, identifying the root cause and resolution with internal and external stakeholders.
- Identify and remediate technical debt, assess for updates and obsolescence as part of continuous improvement.
- Develop, maintain collaborative relationships using adaptive business methodology with stakeholders such as, business users, data scientists, data analysts and business intelligence teams.
- Present, communicate, and disseminate messages about the data product, tailoring the message and medium to the needs of the audience.
- Evaluate the strengths and weaknesses of prototype data products and how these integrate within an organisation’s overarching data infrastructure.
- Assess and identify gaps in existing tools and technologies in respect of implementing changes required.
- Identify data quality metrics and track them to ensure the quality, accuracy and reliability of the data product.
- Selects and apply sustainable solutions to contribute to net zero and environmental strategies across the various stages of product and service delivery.
- Horizon scanning to identify new technologies that offer increased performance of data products.
- Implement personal strategies to keep up to date with new technology and ways of working.
Training schedule
During your apprenticeship, you’ll spend around 80% of your time gaining hands-on experience and 20% studying for your Apprenticeship qualifications.
It’s a chance to learn, grow and make an impact from the start.
Requirements
Essential qualifications
GCSE in:
- English (grade C)
- Maths (grade C)
A Level in:
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
- Problem solving skills
- Number skills
- Analytical skills
- Logical
Other requirements
For all roles in this pathway, having some coding experience and knowledge is really important – whether you’ve picked it up through your studies, online learning or teaching yourself.
You’ll need to have, or be on track for:at least three A-Levels at grades B, C, C or above (England) OR
at least four Highers at grades B, B, B, C or above (Scotland) OR
Level 3 equivalent qualifications
Plus at least five GCSEs (or Scottish National 5s) at grades A*–C or 9–4 (or equivalent), including English and Maths
To be eligible for an Apprenticeship, you will also need to:
● Have lived in the UK or European Economic Area (EEA) for at least 3 years by the start of the apprenticeship in September 2026
● be eligible to work full-time in the UK for the entire duration of the apprenticeship and beyond
● Intend to spend at least 50% of your working hours in England over the duration of the apprenticeship. For example, if you live in Wales and apply for a role based in Bristol, you will be required to work in England for at least half of your total working hours
● Be available for full-time work from September 2026 when all our apprentice roles start
As well as having:
● A genuine interest in change, innovation and continuous improvement
● Confident communication skills with the ability to break down complex concepts in a clear and engaging way
● An interest in new and emerging technologies
● A curious and analytical mind with a passion for problem solving
● An eagerness to question existing ways of doing things
● A love of learning and commitment to personal development
If you're excited about the role, send us your application. Research shows that women in particular often rule themselves out if they feel they don't meet all of the criteria for a role. But don't let that stop you - you don't have to tick all the boxes to shine at Aviva.
Please note this job role isn’t sponsorable under the Home Office points based system so therefore Aviva cannot provide visa sponsorship for this programme. To apply, you’ll need indefinite right to work in the UK. If this applies to you, we’d love to hear from you.
About this employer
As the UK's largest insurer, a FTSE 100 company, and an international leader in our industry, Aviva's Technology teams are cruicial to our success. We truy believe our Technology community is amongst the most experienced and supportive anywhere. Withou their ideas, skills and support, we wouldn't be the company we are today.
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
You will gain exposure during this apprenticeship to the business, and there's a permanent job for you at the end of it.
You'll also be able to explore other opportunities within Aviva.
Ask a question
The contact for this apprenticeship is:
CAMBRIDGE SPARK LIMITED
The reference code for this apprenticeship is VAC2000017085.
Apply now
Closes in 10 days (Sunday 15 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.