Data Engineer Apprentice

FINYX CONSULTING LIMITED

YORK (YO10 5GA)

Closes in 25 days (Friday 24 July 2026)

Posted on 29 June 2026

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Contents

Summary

This is an exciting opportunity within our York Delivery Centre. The right candidate will be joining alongside a number of other Analysts at the same level and given the opportunity to work across a number of areas.

Wage

£18,000 a year

Minimum wage rates (opens in new tab)

£18,000 - £20,000 per annum

Training course
Data engineer (level 5)
Hours
9.00am - 5.00pm, Monday to Thursday (office based), Friday will be working from home.

37 hours 30 minutes a week

Start date

Friday 31 July 2026

Duration

1 year 9 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

  • Analyse, understand and communicate business problems or opportunities
  • Communicate effectively with both technical and non-technical stakeholders
  • Support the design and build of automated data systems and pipelines
  • Identify areas for improvement, research potential options, analyse the impact of change and define success measures
  • Establish structured data stores and consolidating information from various sources of an organisation
  • Transform documented business workflows into automated processes using tools within the business
  • Apply tools and techniques for data analysis and data visualisation to present clear findings and recommendations
  • Summarise and present data / conclusions in the most appropriate format for users, by translating technical concepts into non-technical language
  • Take an iterative approach to completing task-based outputs for a project
  • Prepare for, attend, and contribute to client meetings and workshops
  • Helping to identify and qualify new client opportunities for Finyx and supporting the bid process; coordinating and tracking the completion of our bid response
  • Assisting in the development of Data and AI methodologies
  • Implement and improve internal data platform functionality
  • Creating materials to upskill employees and explain our Services.
  • Providing support (and potentially owning) ongoing internal Finyx projects; this may include analysing and improving internal processes, supporting the design and delivery of company events such as internal training courses for example

Where you'll work

THE CATALYST
BAIRD LANE
YORK
YO10 5GA

Training

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

Training provider

QA 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

Introducing QA’s brand new Level 5 Data Engineer apprenticeship programme, meticulously designed to provide learners with a strong foundation for the development of advanced technical competencies, enabling comprehensive professional and personal growth.

This specialised apprenticeship curriculum comprehensively covers essential knowledge and skills crucial for the proficient design, development and management of intricate data systems.

Learners will be equipped to skilfully architect, administer, and transform data into actionable insights tailored for consumption by Data Scientists, Data Analysts, and Business Intelligence professionals, empowering organisations to drive innovation, optimise business processes, and catalyse informed decision-making.

A natural progression having completed this programme would be onto our DTSL6 Degree Apprenticeship Programme data pathway.

This apprenticeship is designed to produce Data Engineers with the skills to build systems which collect, manage, and convert data into valuable information for data scientists, data analysts and business intelligence analysts to interpret and translate into business impact.

The Data Engineer L5 apprenticeship blends online learning, face-to-face workshops and on-the-job experience to transform learners into highly skilled tech professionals.

Who is it a good fit for?

  • Existing Data Engineers looking to upskill
  • Data Analysts looking to move into an Engineering role
  • Database Administrators

As part of their programme learners will complete:

  • 7 learning knowledge modules teaching theory and practical application. These are primarily taught online and are supported by classroom training workshops
  • Work-based portfolios & projects will be completed at work, over the course of the programme to demonstrate practical abilities
  • Optional Microsoft Certification

As part of the Level 5 Data Engineer Apprenticeship, learners will be able to access Cloud Academy resources which will prepare them for taking the optional Microsoft Certification exam.

Requirements

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Team working

Other requirements

Entry requirements:

  • A Level 3 qualification in a relevant area in any grade
  • Acceptable qualifications include, any of:
  • Two A levels in one or more similar subject.*
  • Level 3 apprenticeship in a similar subject.
  • International Baccalaureate at Level 3 in a similar subject
  • BTEC Extended Diploma in a similar subject.
  • Experience with programming languages (such as Python)

OR equivalent work experience:

  • 2-3 years in a similar subject-related role.

*'Similar subject' relates to areas directly relevant to or commensurate with 'Digital and Technology Solutions'. Typically this would be areas such as but not limited to Level 3 digital apprenticeships, A-Level/BTEC Computer Science, Information Technology, Networking, Software Engineering, etc.

Please note: Learners must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject.

You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.

If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. 

For more information please visit the UK ENIC website.

About this employer

Since 2006, Finyx have supported our clients to deliver large and complex digital transformation programmes and projects that have added real value to their operations. We work on high value, innovative and interesting projects for clients who are strategically vital for the UK economy in both the Private and Public Sectors.

Finyx operate out of three office locations in London, York and Belfast. We pride ourselves on having built a happy and healthy place to work with an open, non-corporate, fun culture built on mutual respect and trust.

Company benefits

  • 25 days annual leave.
  • Company pension scheme via salary sacrifice (if eligible).
  • Private healthcare (after probation).
  • Death in service

After this apprenticeship

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

  • 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC2000039703.

Apply now

Closes in 25 days (Friday 24 July 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.