Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer

Inspire People
London
4 days ago
Create job alert

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. 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.
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. Follow the apply link to

register your interest.
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 need
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 in complete confidence.

TPBN1_UKTJ

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.