At a Glance
- Tasks: Lead the design and maintenance of data models for innovative projects.
- Company: Join QBE, a global insurer with a human touch.
- Benefits: 30 days holiday, flexible working, and a generous pension plan.
- Other info: Dynamic environment with opportunities for career growth and recognition.
- Why this job: Make a real impact in data modelling and solution design.
- Qualifications: Experience in enterprise data modelling and strong communication skills.
The predicted salary is between 60000 - 75000 £ per year.
Location: London
Type: Permanent, full time
Flexible working: Happy to talk flexible working
The Opportunity
QBE Europe is recruiting a Data Modeller to join the EO Data & Analytics function. This role supports the ongoing transformation of Data, Analytics and AI by providing critical expertise across our data domains (including finance, actuarial, and claims), ensuring consistency, scalability, and alignment with strategic initiatives.
The Data Modeller is responsible for defining, governing, and evolving enterprise data models across QBE's core data platforms. The role also contributes to solution design activities, ensuring that business requirements are translated into scalable, maintainable, and strategically aligned data solutions that support QBE's target architecture.
Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.
Your New Role
- Data Modelling & Solution Design Leadership
- Lead the design and maintenance of conceptual, logical, and physical data models
- Contribute to end-to-end solution design activities, ensuring data architecture and data products align with business and technology objectives
- Define and enforce data modelling standards and best practices
- Ensure alignment between current-state and target-state architecture
- Maintain deep understanding of curated and provisioned data layers
- Identify and mitigate data design and solution design risks
- Collaborate with architects and engineers to define scalable and maintainable solution patterns
- Ensure models and solutions support scalability, performance, security, and regulatory requirements
- Enable faster, more reliable delivery of data products and business capabilities
- Strategic Programme Enablement
- Provide data modelling and solution design leadership for strategic initiatives such as Insurance Core Platform (ICP) and Finance Modernisation
- Support programme teams with solution options, impact assessments, and design decisions
- Reduce design risk, rework, and onboarding time across programmes
- Stakeholder Collaboration
- Work closely with and encourage good collaboration with Data Architecture, Engineering, Group Data Office, business stakeholders, and programme delivery teams
- Translate business requirements into robust data models and solution designs
- Participate in architecture and design reviews, providing subject matter expertise on data structures, integration patterns, and information management
About you
- Extensive experience in enterprise data modelling (Data Vault, dimensional, etc.)
- Strong knowledge of insurance data domains (Finance, Claims, Actuarial preferred)
- Experience contributing to solution architecture and solution design within large-scale data platforms
- Experience working on large transformation programmes
- Ability to operate as both:
- Hands-on modeller
- Strategic advisor and solution design contributor
- Strong understanding of data integration, data product, and analytical solution patterns
- Strong stakeholder engagement and communication skills
Benefits
We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from: 30 days holiday a year with the option to buy up to 2 additional days.
Flexible working - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours.
Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.
To learn more about benefits of working with us, click Rewarding our people - QBE European Operations
Apply now and let’s make it happen!
If you’re looking for a career that combines your expertise and your empathy, click Apply today.
Your career. At the heart of it.
Application Close Date: 24/07/2026 11:59 PM
How to Apply: To submit your application, click "Apply" and follow the step by step process.
Equal Employment Opportunity: QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Data Modeller in London employer: QBE
QBE is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the UK Construction & Engineering sector. Employees benefit from generous perks such as 30 days of holiday, flexible working arrangements, and a robust pension plan, all while having ample opportunities for professional growth in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeller in London
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We think you need these skills to ace Data Modeller in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at QBE. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at QBE
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at QBE!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
