Data Engineer Apprentice
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.
Role
- 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
Training
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.
- 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average
- Apprenticeship Standard
- Data engineer (level 5)
- Training Provider
- QA LIMITED
- Working Week
- 9.00am - 5.00pm, Monday to Thursday (office based), Friday will be working from home.
- Expected Duration
- 1 Year 9 Months
- Positions Available
- 1
- Closing Date
- Friday, 24th July 2026
- Start Date
- Friday, 31st July 2026
Desired Skills
- Communication skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Team working