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Data Engineer

Johnson Matthey

Wendy

On-site

GBP 48,000 - 60,000

Full time

Today
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Job summary

A government agency is seeking a Senior Data Engineer to develop data pipelines and improve data access across the organisation. You will lead the development of data-engineering solutions and collaborate with teams to support strategic decision-making. The ideal candidate should have experience with large-scale analytics engines, cloud data stacks, and strong communication skills. A competitive salary up to £60,800 plus comprehensive benefits is offered.

Benefits

29% employer pension contribution
Annual leave of 28.5 days plus 8 public holidays
Personalised training and development plans
Flexible working hours
Social and sports clubs

Qualifications

  • Experience with large-scale analytics engines and scripting languages.
  • Hands-on use of cloud data stacks and modern storage formats.
  • Experience with DevOps and testing data pipelines.

Responsibilities

  • Identify opportunities to optimise data flows and manage databases.
  • Lead development of data-engineering solutions and advise teams.
  • Collaborate with colleagues to understand data engineering's value.

Skills

Large-scale analytics engines (e.g. Spark/PySpark)
Scripting languages (Python or Scala)
Cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena)
DevOps/DataOps tooling (e.g. Terraform)
Strong communication skills
Experience profiling data

Tools

IBM DB2/QREP
BMC Control-M
Talend Data Integration
Job description
Senior Data Engineer – HM Land Registry

As a Senior Data Engineer at HM Land Registry, you will contribute to the development of reliable data pipelines and products that improve data access, integrity and value across the organisation. You will help build a new data‑engineering capability that supports programmes shaping how HMLR manages and uses its data for years to come.

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 and support 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 stay aware of best practice and emerging approaches.
  • Design, deliver and maintain robust data systems, pipelines and products that support analytics and operational decision‑making.
  • Provide technical leadership, guide colleagues and help shape solutions across the organisation.
  • Support opportunity discovery, develop prototypes and production‑ready solutions, and continually improve data‑engineering practices and systems in production.
Qualifications
  • 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. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (Parquet, Delta Lake, Fabric).
  • Experience with DevOps/DataOps 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.
  • Strong communication skills, able to work with technical and non‑technical stakeholders, lead discussions in multidisciplinary teams and manage differing viewpoints.
  • Experience profiling data, analysing source systems and creating data models that suit different organisational needs.
Desirable Skills
  • IBM DB2/QREP
  • BMC Control‑M
  • Talend Data Integration (ETL build and deployment using Talend Cloud)
  • Leadership experience
  • Metadata management expertise
  • Experience in testing
Salary and Benefits

£48,400 – £59,300, depending on experience (Developing – £48,400, Proficient – £53,800, Accomplished – £59,300). Salary may be higher up to £60,800. 29 % employer pension contribution, annual leave of 28.5 days plus 8 public holidays, clear progression pathway with personalised training and development plans, expensed accreditations, flexible working hours and condensed hour options, social and sports clubs, Employee Assistance Programme, interest‑free season ticket loan, cycle‑to‑work scheme and a positive culture focused on inclusivity and continuous learning.

EEO Statement

HMLR does not hold a UK Visa & Immigration (UKVI) Skilled Worker Licence and is unable to sponsor individuals for Skilled Worker sponsorship.

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