Senior Data Engineer

UK Home Office; Glasgow; Hybrid; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Civil Service Pension

25 days annual leave

8 public holidays + 1 privilege day

Hybrid working (60% in office)

Job summary

UK Home Office is recruiting a Senior Data Engineer to design and lead complex data flows connecting operational systems with analytics and BI. The role sits in the Central FinOps team, focusing on cloud financial management and data-enabled processes.

You will work with AWS and Azure expenditure data, support budgeting and forecasting, and help improve management information, dashboards and automation, while mentoring juniors in an agile environment.

Responsibilities

• Analysing problems and experimenting with possible solutions to identify root causes and develop innovative solutions.
• Analysing and reporting test activities and results, supporting data engineers and stakeholders on data analysis issues.
• Designing and implementing a data streaming service, including new data models and ETL processes.
• Ensuring successful delivery of completed data loads for customers, Data Analysts and Data Scientists; troubleshooting as needed.
• Designing, building and testing data products and solutions that are complex or large-scale through full lifecycle.
• Applying data modelling concepts to produce varied data models across multiple subject areas and guide their use.

Job description

Location: Glasgow | Salford | Sheffield (hybrid working)

Salary: £49,850 with skills allowance of up to £7550

Advert Close Date: 11:55 pm 2nd November 2026

Senior Data Engineers design and implement complex data flows to connect operational systems with analytics and BI systems. You’ll build and manage data flows, collaborating with the Data Science community and Product Owners to identify strategies and services to best support business needs. You’ll help set the direction for service technology and data architecture, while mentoring junior team members, promoting collaboration and encouraging an agile approach to work.

You’ll get to work with some of the largest and most varied datasets around, and benefit from a wealth of continuous professional development resources and career opportunities. You’ll play a key role in delivering joined-up, intelligent services that unlock the value from data and deliver better outcomes for the UK.

This role sits in the Central FinOps team and is primarily focused on cloud financial management. We are looking for an experienced finance professional who wants to apply their knowledge in a digital and data-enabled environment. Strong finance experience is the primary requirement. Previous data engineering, cloud or programming experience is not essential, as the relevant technical skills can be developed in the role.

You will support the financial management and control of significant AWS and Azure expenditure. This includes cost allocation, budgeting and forecasting, invoicing, reconciliation, recharge and chargeback. You will investigate financial discrepancies and work with finance, commercial, supplier, cloud platform and business teams to ensure expenditure is accurate, traceable and attributed to the correct portfolios, programmes and services.

Using financial and cloud consumption data, you will help improve management information, reporting, dashboards and automated financial processes. Your work will strengthen financial governance, transparency and accountability while helping stakeholders understand their cloud consumption and associated costs.

This is an opportunity to move from a finance-focused career into FinOps, cloud financial management, data analytics and automation, while continuing to apply established experience of financial operations, accounting processes, governance and controls.

Senior Data Engineers design and lead the implementation of complex data flows to connect operational systems, data for analytics and BI systems.

As a Senior Data Engineer, you will identify, build, modify and manage data flows between complex systems using the appropriate solution.

You will be working with the Data Science community, who set the scope of data engineering work through user research and data pipelines. Through sharing work with Product Owners, you will identify strategies for how the service is best able to support business needs.

You will work with fellow members of the Data Engineering community to set the direction of the service technology and data architecture. You will also mentor more junior members of the team - promoting challenge, collaborating and encouraging an agile approach to working.

Main Responsibilities

• Analysing problems and experimenting with possible solutions to find the underlying causes of issues or discrepancies to identify problems and to assist in the development of innovative solutions.
• Analysing and reporting test activities and results, supporting data engineers and stakeholders on data analysis issues.
• Designing and implementing a data streaming service, including the development of new data models and ETL processes.
• Ensuring the successful delivery of completed data loads for customers, Data Analysts and Data Scientists, troubleshooting where required.
• Designing, building and testing data products and solutions that are complex or large scale, through full development, test and deployment lifecycles.
• Applying concepts and principles of data modelling and producing relevant and varied data models across multiple subject areas and providing guidance on how to use them.

Why work for us...

Find out more information at: Benefits - Home Office Careers, but some of the primary ones are:

• A Civil Service Pension with employer contribution rates of at least 28.97%.
• In-year reward scheme for one-off or sustained exceptional personal or team achievements.
• 25 days annual leave on appointment, rising with service.
• 8 days of public holidays, plus 1 additional privilege day.
• Where business needs allow, some roles may be suitable for a combination of office and home-based working. This is a non-contractual arrangement where all employees will be expected to spend a minimum of 60% of their working time in an office.