Data Engineer

HM 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 Data Engineer, you will support the development of HMLR's data engineering capability by helping to build and maintain reliable data pipelines and products. Your work will contribute to improving data access, quality and value across the organisation, supporting programmes that influence how HMLR manages and uses its data in the future.

Salary up to £44,400, 29% employer pension contribution plus full Civil Service benefits. Flexible, hybrid working from Plymouth, Croydon or Coventry.

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.

As a Data Engineer, you'll work closely with senior data engineering colleagues and multidisciplinary teams to deliver robust data systems, complex data flows and data products for analytics and business intelligence. You'll contribute to opportunity discovery, support the development of prototypes and production‑ready solutions, and help address technical problems through research and experimentation. Alongside this, you'll play an active role in improving data engineering processes and maintaining resilient, high‑quality solutions 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. Follow the Apply link to register your interest.

• Support the design and maintenance of data flows that connect operational systems and provide data for analytics and BI.
• Help re‑engineer manual processes into scalable, repeatable data pipelines and write optimised ETL code.
• Contribute to building data streaming capabilities and creating accessible data products for analysis.
• Improve data quality, document data mappings, and identify opportunities to optimise data engineering processes.
• Work collaboratively with other teams, follow industry best practice aligned to HMLR standards, and participate in the data engineering community.
• Develop understanding of legacy systems, learn the basics of Land Registry operations, and maintain awareness of organisational priorities.
• Continue personal development to build skills and knowledge relevant to the role.

• Experience of using a unified engine for large‑scale data analytics (e.g. Spark/PySpark)
• Experience in writing, testing and implementing scripts (e.g. Python, Scala)
• Experience of cloud data stack use (e.g. Sage Maker Notebooks, S3, Glue, Athena)
• Communicating technical concepts clearly to both technical and non‑technical stakeholders using appropriate language and methods.
• Profiling data and analysing source systems to produce clear, actionable insights.

• Knowledge of Dev Ops processes: (e.g. Terraform)
• Knowledge of data pipeline testing (e.g. end‑to‑end testing, data quality testing, monitoring & alerting, unit & contract testing)
• Knowledge of the data lifecycle (e.g. development, analysis, modelling (e.g. IDA Infosphere Data Architect), integration, metadata management).

Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days per week). Hours are flexible and condensed hours are an option.

Croydon, Coventry, Plymouth

Civil Service Grade: HEO

Dependent upon assessment at interview your starting salary will be one of the following:

• Developing - £41,100
• Proficient - £43,100
• Accomplished - £44,400

• Over 29% employer pension contribution
• Annual leave of 28.5 days per year plus 8 public holidays
• A clear progression pathway including personalised training and development plans
• Expensed…