Senior Data Engineer

Senior Data Engineer

Full-Time 49600 - 60800 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deliver robust data systems to enhance data access and integrity.
  • Company: Join HM Land Registry, a leader in government digital transformation.
  • Benefits: Enjoy a competitive salary, generous pension, flexible hours, and personal development opportunities.
  • Why this job: Make a real impact on how data shapes property ownership across England and Wales.
  • Qualifications: Experience with large-scale analytics and cloud data stacks is essential.
  • Other info: Flexible hybrid working from Croydon, Coventry, or Plymouth with excellent career growth.

The predicted salary is between 49600 - 60800 £ per year.

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 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.

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 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.

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.

Essential Skills

  • 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 (e.g. 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.
  • 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.

Desirable Skills

  • 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 advertised locations 60% of your time across the month (typically three days per week). Hours are flexible and condensed hours are an option. Locations available: Croydon, Coventry, Plymouth.

Salary Civil Service Grade: SEO Dependent upon assessment at interview, your starting salary will be one of the following:

  • Developing: £49,600
  • Proficient: £55,200
  • Accomplished: £60,800

Benefits

  • 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 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.
  • Access to an Employee Assistance Programme for counselling and support.
  • Interest-free season ticket loan.
  • Cycle to Work scheme (salary sacrifice).

HMLR has a strong and positive culture, a commitment to inclusivity, a focus on continuous learning and development, and flexible ways of working.

Further Information

Application deadline: 11:55pm Thursday 8th of January 2026. Please apply with a CV that provides evidence against the essential skills. HMLR does not hold a UK Visa & Immigration (UKVI) Skilled Worker Licence and is unable to sponsor individuals for Skilled Worker sponsorship.

If you are a motivated and experienced data professional who enjoys leading on complex data challenges, shaping technical approaches and working collaboratively in agile teams, this is your chance to make a significant impact. Join HM Land Registry and play a crucial role in developing and guiding the data capabilities that support property ownership and public services across England and Wales. Apply now or contact Keesha in complete confidence.

Senior Data Engineer employer: Inspire People

HM Land Registry (HMLR) is an exceptional employer, offering a dynamic work environment that champions inclusivity and continuous learning. With a strong commitment to employee development, you will benefit from personalised training plans, flexible working arrangements, and a generous pension contribution, all while contributing to transformative projects that shape the future of property ownership in the UK. Join us in Plymouth, Croydon, or Coventry, where you can thrive in a supportive culture that values your expertise and encourages innovation.
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Contact Detail:

Inspire People Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current or former employees at HMLR on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.

✨Tip Number 2

Prepare for that Q&A session! Join the virtual meet-up on January 6th. It’s a golden opportunity to ask questions and make a memorable impression on the hiring managers.

✨Tip Number 3

Show off your skills in action! If you have any relevant projects or prototypes, be ready to discuss them. We want to demonstrate how we can contribute to building those robust data systems.

✨Tip Number 4

Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our experience aligns with HMLR's needs.

We think you need these skills to ace Senior Data Engineer

Data Engineering
Data Pipeline Development
Large-Scale Analytics Engines (e.g. Spark/PySpark)
Scripting Languages (e.g. Python, Scala)
Cloud Data Stacks (e.g. SageMaker Notebooks, S3, Glue, Athena)
Modern Storage Formats (e.g. Parquet, Delta Lake, Fabric)
DevOps/DataOps Tooling (e.g. Terraform)
Data Quality Testing
Full Data Lifecycle Management
Data Modelling
Communication Skills
Leadership Experience
Metadata Management
Agile Methodologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to highlight the essential skills mentioned in the job description. We want to see how your experience aligns with the role of a Senior Data Engineer, so don’t hold back on showcasing your relevant projects and achievements!

Showcase Your Technical Skills: When writing your application, be sure to emphasise your experience with large-scale analytics engines and cloud data stacks. We’re looking for someone who can hit the ground running, so let us know about your hands-on experience with tools like Spark, Python, and Terraform.

Communicate Clearly: Remember, you’ll be working with both technical and non-technical stakeholders. Use clear and concise language in your application to demonstrate your ability to communicate complex ideas effectively. We appreciate straightforwardness and clarity!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what it’s like to work at HMLR.

How to prepare for a job interview at Inspire People

✨Know Your Data Engineering Tools

Familiarise yourself with the specific tools and technologies mentioned in the job description, like Spark, Python, and cloud data stacks. Be ready to discuss your hands-on experience with these tools and how you've used them to solve real-world problems.

✨Showcase Your Leadership Skills

As a Senior Data Engineer, you'll be expected to guide junior team members and lead discussions. Prepare examples of how you've successfully led projects or mentored others in previous roles. This will demonstrate your ability to take charge and support your team.

✨Understand HMLR's Vision

Research HM Land Registry's transformation programme and its impact on property ownership. Being able to articulate how your role as a Senior Data Engineer fits into their goals will show your genuine interest and alignment with their mission.

✨Prepare for Technical Questions

Expect technical questions that assess your understanding of data pipelines, DevOps practices, and data lifecycle management. Brush up on your knowledge and be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.

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