Senior Data Engineer
Listed on 2025-12-30
-
IT/Tech
Data Engineer, Data Science Manager
Join to apply for the Senior Data Engineer role at HM Land Registry
1 day ago Be among the first 25 applicants
Join to apply for the Senior Data Engineer role at HM Land Registry
This range is provided by HM Land Registry. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay rangeHM Land Registry (HMLR) is undertaking one of the largest transformation programmes in government, modernising the digital systems that support over £7 trillion of property ownership. As a Senior Data Engineer, you will help establish a new data engineering capability, contributing to the development of reliable data pipelines and products that improve data access, integrity and value across the organisation. Your work will support programmes that shape how HMLR manages and uses its data for years to come.
Salary up to £60,800, 29% employer pension contribution plus full Civil Service benefits. Flexible, hybrid working from Plymouth, Croydon or Coventry.
About the role
This role has come to fruition as HMLR embarks on a significant modernisation of its core services and data infrastructure. With new funding secured and a dedicated Data Engineering capability being formed for the first time, there is a crucial need to build strong, reliable data systems that can support future services and national programmes. The pipelines and data products you create will underpin key initiatives in geospatial data, automation, register improvements and operational intelligence - helping ensure that property data across England and Wales is accurate, accessible and ready for the future.
As a Senior Data Engineer, you’ll design and deliver robust data systems, pipelines and products that support analytics and operational decision-making. Working in agile teams, you’ll provide technical leadership, guide colleagues and help shape solutions across the organisation. You’ll also support opportunity discovery, develop prototypes and production-ready solutions, and continually improve data engineering practices and systems in production.
If you would like to find out more about the role, the Data Engineering capability and what it’s like to work at HMLR, a Hiring Manager Q&A session where you can virtually 'meet the team' will be held via Teams on Tuesday, 6th of January at 12:30pm.
Please register your interest here:
Key Responsibilities
- Identify opportunities to reuse and optimise data flows, including building streaming systems, managing databases and improving code performance.
- Lead the development and maintenance of data engineering solutions, advising teams as a subject matter expert and ensuring alignment with HMLR standards and approved technologies.
- Collaborate with senior colleagues to understand where data engineering adds value, supporting strategic and operational decision-making.
- Support and guide junior team members, contribute to the data engineering community and advocate for data quality, maintainability and reusable components.
- Continuously improve data systems and maintain awareness of best practice and emerging approaches
- Experience with large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala.
- Hands-on use of cloud data stacks (e.g. Sage Maker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric).
- Experience with Dev Ops/Data Ops tooling and practices (e.g. Terraform) and testing data pipelines, including end-to-end, data quality, monitoring, unit and contract testing.
- Experience managing the full data lifecycle, including development, analysis, modelling, integration and metadata management.
- Communicating clearly with technical and non-technical stakeholders, leading discussions in multidisciplinary teams and managing differing viewpoints
- Profiling data, analysing source systems and creating data models that suit different organisational needs.
- IBM DB2/QREP
- BMC Control-M
- Experience of Talend Data Integration (e.g. ETL build and deployment using Talend Cloud.
- Experience of leadership
- Experience of metadata management
- Experience of testing
Location
Expectation is to be working from any of the…
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: