Wage: £18,000 a year
Training course: Data engineer (level 5)
Hours: 9.00am - 5.00pm, Monday to Thursday (office based), Friday will be working from home.
Start date: Wednesday 16 September 2026
Duration: 1 year 9 months
Positions available: 1

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 Wednesday 16 September 2026 Duration 1 year 9 months Positions available 1

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 CATALYSTBAIRD LANEYORKYO10 5GA

Training

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

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 skillsAttention to detailOrganisation skillsProblem solving skillsTeam working

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

Graduate / Junior Sales Engineer

About this role

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