Data Engineer
Listed on 2026-06-23
-
Software Development
Azure
About the job
Job title:
Data Engineer
Location:
Birkenhead - Hybrid working
Working hours:
35 hours per week
HSB (UK and Ireland) is a leading specialist provider of engineering, technology and structural warranty insurance solutions, plant and equipment inspection services and engineering-based risk management activities in the UK and Ireland.
HSB (UK and Ireland) consists of the parent company HSB Engineering Insurance Limited (HSBEIL) together with its two UK subsidiaries, HSB Engineering Inspection Services Limited (HSBEISL); and a regulated MGA, MD Insurance Services Limited (MDIS), which trades as Premier Guarantee or LABC Warranty.
Collectively, HSB is the UK and Ireland’s only group of companies solely focused on providing specialist engineering and technology insurance solutions, alongside risk‑focused inspection services and assessments to its customers.
This opportunity sits within MD Insurance Services (MDIS), supporting its Data & Analytics capability.
Why Join MD Insurance Services?We don’t just insure—we enable confidence in construction. At MD Insurance Services (MDIS), you’ll be part of a specialist provider of structural warranty solutions, supporting developers, clients, and end users through high‑quality risk assessment, inspection, and technical expertise.
As part of the wider HSB and Munich Re Group, MDIS combines deep industry knowledge with strong financial backing and a reputation for delivering trusted, customer‑focused solutions. You’ll be part of a collaborative and forward‑thinking environment where data and technology play an increasingly important role in how we improve decision‑making, enhance services, and deliver better outcomes.
With a strong focus on professional development, modernisation, and continuous improvement, we support you to grow your skills while contributing to meaningful work.
What You’ll Be DoingAs a Data Engineer, you will play an important role in strengthening and modernising our data estate within MD Insurance Services.
You will contribute to improving our existing SQL Server environment, support the development of a new Azure data platform, and help embed structured, well‑governed development practices using Azure Dev Ops. Working with colleagues across the business, you’ll create simple, modular, and reusable data solutions that reduce complexity, improve reliability, and deliver clear business value. In your day to day you will:
- Collaborate with stakeholders to design and deliver scalable, high‑quality data pipelines and models across SQL Server and Azure platforms.
- Develop simple, modular, reusable data components following best practices to enhance maintainability, performance, and governance.
- Own end‑to‑end delivery of data solutions, including deployment, monitoring, and proactive resolution of issues within Azure Dev Ops environments.
- Drive continuous improvement through transparent communication, code reviews, constructive feedback, and adoption of modern data engineering practices.
- Modernisation focus: Be part of building a future‑ready Azure data platform
- Meaningful impact: Your work supports better decision‑making and business outcomes
- Collaborative culture: Work closely with a supportive and knowledgeable team
- Continuous learning: Opportunities to develop skills and work with modern tools and practices
- Trusted organisation: Join a business known for integrity, technical expertise, and innovation as part of Munich Re
- A thoughtful and analytical approach to problem solving
- An interest in creating clear, maintainable, and effective data solutions
- Strong communication skills, with the ability to share ideas clearly with different audiences
- A proactive and organised approach to managing work
- A collaborative mindset, with willingness to learn from others and share knowledge
- Experience working with SQL Server and strong T‑SQL development skills
- Ability to design and build modular and reusable data components
- Understanding of data modelling, schema design and performance optimisation
- Familiarity with ETL/ELT concepts and data pipeline development
- Experience using Git and version…
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