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Data Engineer – Birkenhead (Hybrid)
Job Title
Data Engineer | Location: Birkenhead (Hybrid) | 35 hours per week
About HSB (UK and Ireland)
HSB (UK and Ireland) is a leading specialist provider of engineering, technology and structural warranty insurance solutions, alongside plant and equipment inspection services and engineering-based risk management. It consists of:
- HSB Engineering Insurance Limited (parent company)
- HSB Engineering Inspection Services Limited
- MD Insurance Services Limited (regulated MGA), trading as Premier Guarantee or LABC Warranty
As the only group in the UK/Ireland entirely focused on these areas, HSB combines deep industry expertise with strong financial backing to deliver trusted, customer-first solutions. This role sits within MD Insurance Services (MDIS), supporting its Data & Analytics capability.
Why Join MD Insurance Services?
You won’t just insure—you’ll enable confidence in construction. At MDIS, you’ll work with:
- Developers, clients, and end-users to improve high-quality risk assessment, inspections, and technical expertise
- A collaborative, forward-thinking environment where data and technology drive better decision-making, service improvements, and business outcomes
- Opportunities for professional development, modernisation, and continuous growth in a meaningful field
MDIS is part of the Munich Re Group, meaning you’ll benefit from strong financial backing, industry reputation, and a commitment to excellence.
What You’ll Be Doing
As a Data Engineer, you’ll help strengthen and modernise MDIS’s data estate, working across:
- SQL Server environments (improving existing systems)
- New Azure data platforms (leading adoption)
- Azure DevOps (enforcing structured, governed development practices)
Your day-to-day tasks will include:
- Collaborating with stakeholders to design and deliver scalable, high-quality data pipelines and models across both SQL Server and Azure.
- Developing modular, reusable data components that enhance maintainability, performance, and governance.
- Owning end-to-end delivery, including:
- Deployment
- Monitoring
- Proactive issue resolution
- Driving continuous improvement through:
- Transparent communication
- Code reviews
- Adoption of modern data engineering practices
Key Responsibilities
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All responsibilities align with MDIS’s operating principles. You’ll:
We Start With Why
✔ Work with stakeholders to understand business problems and outcomes before building solutions. ✔ Design data solutions that directly support decision-making and operational improvements. ✔ Prioritise value and impact, not just technical output.
We Keep Things Simple
✔ Build modular, reusable data components to avoid complexity. ✔ Apply consistent architectural patterns for better maintainability. ✔ Avoid over-engineering—stick to fit-for-purpose solutions.
We Have High Standards
✔ Develop high-quality, scalable data pipelines and models following best practices. ✔ Ensure solutions are production-ready, robust, and performant. ✔ Maintain strong standards in coding, documentation, and design.
We Own Outcomes
✔ Take end-to-end accountability from design through deployment and support. ✔ Confirm solutions deliver measurable business value. ✔ Proactively resolve issues impacting delivery or data quality.
We Think Ahead
✔ Design flexible, adaptable solutions that support future business needs. ✔ Help evolve the data platform, including Azure adoption. ✔ Anticipate scaling, performance, and integration requirements.
We Communicate Honestly
✔ Maintain clear, proactive communication on progress, challenges, and risks. ✔ Translate technical concepts for non-experts. ✔ Foster transparency in decisions and execution.
We Welcome Feedback
✔ Actively seek and apply feedback to refine solutions and ways of working. ✔ Contribute to code reviews and peer discussions for quality and consistency. ✔ Promote a collaborative, open culture for shared learning.
We Challenge Constructively
✔ Question assumptions and clarify requirements. ✔ Propose improved approaches to enhance quality, efficiency, or outcomes. ✔ Balance stakeholder needs with sound engineering principles.
We Reflect and Improve
✔ Review and optimise solutions and processes iteratively. ✔ Support data platform and engineering practice enhancements. ✔ Contribute to team standards and delivery improvements.
We Invest in Growth
✔ Stay current with modern data engineering tools and Azure technologies. ✔ Support team knowledge-sharing and collaboration. ✔ Continuously develop personal and technical expertise.
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What You Bring
- A thoughtful, analytical mindset for problem-solving.
- Passion for clear, maintainable, and effective data solutions.
- Strong communication skills (ability to explain concepts across audiences).
- Proactive, organised approach with a hold-to-accountability ethos.
- Collaborative mindset and willingness to learn from and share knowledge.
What You’ll Need
Essential Skills
- Proficiency in SQL Server with strong T-SQL development experience.
- Ability to design modular and reusable data components.
- Knowledge of data modelling, schema design, and performance optimisation.
- Familiarity with ETL/ELT principles and data pipeline development.
- Git & version control practices (e.g., GitHub, Azure Repos).
- Exposure to Azure data tools (Azure SQL, Data Factory, or Synapse).
- Understanding of structured development practices and Software Development Lifecycle (SDLC).
- Detail-oriented problem-solving and stakeholder communication.
Desired Experience
- Experience improving or maintaining SQL Server environments.
- Prior exposure to cloud-based data platforms (preferably Azure).
- Work in structured development or SDLC environments.
- Participation in system improvements, modernisation, or digital transformation initiatives.
What We Offer
In addition to competitive pay, excellent work-life balance, and a bespoke training program, enjoy:
- 25 days’ annual leave + bank holidays + wellbeing days
- 10% pension contribution from day one
- Eligibility for an annual bonus
- Private medical insurance
- Life assurance
- Wellbeing & development support / employee assistance programme (EAP)
- Study & professional development funding
- Flexible hybrid working
Diversity, Equity & Inclusion
At HSB, we foster innovation and resilience through diverse, equitable, and inclusive practices. We value varied backgrounds, experiences, and perspectives, including:
- Racial, ethnic, and gender identities
- Economic and geographic diversity
- Abilities, ages, and beliefs
- Political, religious, and interpersonal differences
We are committed to equality and offer reasonable adjustments at any recruitment stage. Speak to your [Talent Acquisition contact] to discuss requirements.
HSB is part of Munich Re Group.
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