Data Engineer

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 range

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 £45,700, plus 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.

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.

Please register your interest here:

Key Responsibilities

• 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. SageMaker 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 DevOps 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).

Location

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.

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

• Annual leave of 28.5 days per year plus 8 public holidays
• A clear progression pathway including personalised training and development plans
• Expensed accreditations with dedicated training days
• Flexi‑time scheme (you decide what working hours work best for you)
• Opportunity to work condensed hours
• Social and sports clubs