A senior data engineer in the UK Home Office Digital (Glasgow, hybrid) designs and leads complex data flows, ETL and streaming pipelines that connect operations with analytics and BI, enabling cloud cost attribution and financial transparency while mentoring junior staff. Core tech: ETL tools, databases, orchestration, public cloud, and Oracle ERP.
As a Senior Data Engineer in Home Office Digital, you will design and lead complex data flows that connect operations with analytics and BI. You’ll enable accurate cloud cost attribution and financial transparency, working with finance and cloud platform teams to support recharge and dashboards. You’ll mentor juniors, shape service technology and data architecture, and collaborate with Data Science and Product Owners to meet business needs. The role offers exposure to large, diverse datasets and a path for continuous professional development in a mission-driven government environment.
Pay / Benefits
Civil Service Pension with employer contribution
25 days annual leave
8 public holidays + 1 privilege day
hybrid working where 60% office time is expected
in-year reward scheme
capability-based allowance (non-contractual)
Responsibilities
Analyze problems and develop innovative data solutions to root out underlying issues
Analyse and report on data analysis activities, supporting data engineers and stakeholders
Design and implement a data streaming service and ETL processes
Ensure successful delivery of data loads for analysts and scientists, troubleshooting as needed
Build and test data products and solutions across full development, test, and deployment lifecycles
Apply data modelling concepts to produce varied models across subjects and guide usage
Key requirements
Experience with finance processes and controls (ideally UK Government) and handling financial discrepancies
Strong understanding of financial governance, risk management, and internal controls
Experience in receipting and invoicing, P2P and O2C, and ERP platforms (e.g., Oracle)
Ability to communicate complex financial information to non-technical and senior stakeholders
Delivery experience in data analysis, solution design and end-user reporting
Experience in IT programming and automation, ETL tools, databases, scheduling/orchestration, and public cloud technologies
Ability to manage and communicate with stakeholders about performance and analysis