Data Engineer

Newport, United Kingdom
4 days ago
£45,000 – £55,000 pa

Salary

£45,000 – £55,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (4 days ago)

Benefits

25 days paid holiday plus bank holidays Purchase extra annual leave (up to 5 days) Additional day's annual leave on birthday Contributory pension scheme - 3% employee contributions, 10% employer contributions 4 X life assurance Private healthcare scheme (after one year's service) Employee Assistance Programme Health and wellbeing benefits including flu jabs and eye tests Staff Socials 35 hour working week

Your new company
Monmouthshire Building Society is an independent mutual with over 160 years of history serving communities across South Wales and the South West of England. We offer mortgages and savings built around our members' needs, combining personal service, local knowledge and responsible lending. As a mutual, we reinvest profits back into the Society to support our members, our people and the communities we serve.
Your new role
The Data Engineer will design, build, support and operate data pipelines and core data platform technologies within the organisation's Azure-based analytics and lake house environment. The role is hands-on and implementation-focused, working within established architectural patterns to deliver reliable, secure and well-governed data for analytics, Power BI reporting and regulated finance use cases. The role also includes responsibility for supporting and maintaining underlying data platform services, including Azure Databricks and Azure Synapse.
Key Accountabilities

  • Delivery of reliable, scalable and well-governed data pipelines that meet business and regulatory requirements
  • Operational stability and performance of core data platform services including Azure Databricks and Azure Synapse
  • Availability of trusted, high-quality Gold-layer datasets for analytics and Power BI reporting
  • Adherence to data security, access control and governance standards within a regulated environment
  • Effective resolution of data pipeline and platform incidents with clear root-cause understanding
  • Maintenance of accurate documentation, lineage and operational run books to support ongoing platform support

Key Responsibilities

  • Develop and maintain data pipelines using Azure Databricks (Python, PySpark and SQL)
  • Implement ingestion and transformation across Bronze, Silver and Gold layers using Delta Lake
  • Support and operate Azure Databricks and Azure Synapse platforms, including performance monitoring and configuration
  • Build Gold-layer datasets optimised for Power BI and analytics consumption
  • Support production workloads, resolve incidents and maintain operational documentation
  • Apply security, governance and access control standards suitable for a regulated environment
  • Contribute to engineering standards, CI/CD pipelines and code reviews

What you'll need to succeed

Essential

  • Proven experience as a Data Engineer
  • Strong hands-on experience with AzureDatabricks, Python, PySpark and SQL
  • Experience supporting Azure data platforms in production
  • Understanding of medallion architecture and Delta Lake

Desirable

  • Experience with Azure Synapse Analytics
  • Experience with Azure Data Factory
  • Experience in financial services or regulated environments
  • Dimensional modelling / star schema knowledge
  • Databricks Certification


What you'll get in return
Competitive Salary
Great Career Progression
Hybrid Working Policy - 2 days a week in the office.

Benefits Package

  • 25 days paid holiday plus bank holidays
  • Holidays - Purchase extra annual leave (up to 5 days)
  • Additional day's annual leave on birthday
  • Contributory pension scheme - enrolment after 3rd month -3% employee contributions, 10% employer contributions
  • 4 X life assurance
  • Private healthcare scheme (after one year's service)
  • Employee Assistance Programme
  • Corporate uniform for branch staff
  • Health and wellbeing benefits including flu jabs and eye tests
  • Staff Socials
  • 35 hour working week

What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Related Jobs

View all jobs

Data Engineer

Noir Switzerland, United Kingdom
£87,291 – £113,478 pa Hybrid

Data Engineer

Lynx Recruitment London, United Kingdom
£40,000 – £85,000 pa On-site

Data Engineer

Gleeson Recruitment Group Birmingham, United Kingdom
£65,000 – £75,000 pa On-site

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£60,000 – £72,000 pa Hybrid

Data Engineer

hireful Exeter, United Kingdom
£50,000 – £55,000 pa Hybrid

Data Engineer

Robert Walters Manchester, United Kingdom
£55,000 – £60,000 pa Hybrid

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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.