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- Tasks: Design and implement scalable data architectures for analytics and digital transformation.
- Company: Leading player in the insurance services space with a forward-thinking environment.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape enterprise data strategy and drive success in a dynamic industry.
- Qualifications: 8 years of experience in data architecture, especially in insurance.
- Other info: Must be within daily access of Central London for hybrid work.
The predicted salary is between 48000 - 72000 £ per year.
We’re working with a leading player in the insurance services space, who are looking to bring on board an experienced Data Modeller to help shape and deliver their enterprise data strategy. This role sits at the intersection of data engineering and business architecture - perfect for someone who thrives on designing scalable, integrated data ecosystems that power analytics and digital transformation. You’ll be joining a forward-thinking environment where your expertise in data modelling, Azure, and the London Market / Specialty Insurance domain will be key to driving success.
Key Responsibilities:
- Lead the design and implementation of scalable data architectures supporting analytics and digital initiatives.
- Develop and maintain logical and physical data models to support business needs.
- Define and govern data architecture standards across Azure Data Factory and Databricks.
- Oversee data integration frameworks and manage the Information Management architecture.
- Shape strategic data roadmaps aligned with the company’s long-term goals.
- Review and ensure consistency of high-level designs within enterprise data architecture.
- Implement standards, patterns, and best practices for reliable data solutions.
Key Requirements:
- 8 years’ experience designing and implementing enterprise data architectures in insurance.
- Strong hands-on experience in data modelling, with tools such as Erwin.
- Strong background in London Market / Specialty Insurance data domains – essential.
- Proficient in Azure Data Factory and Databricks, including pipeline design and orchestration.
- Solid understanding of data warehousing, ETL/ELT pipelines, and integration practices.
- Knowledge of SDLC methodologies (Agile, DevOps, etc.).
- Confident communicator with the ability to engage technical and business stakeholders.
- Relevant certifications in Azure, Databricks, or Data Architecture a strong plus.
- Must live within daily access of Central London for 2/3 hybrid days.
- Must be available within 6 weeks.
Locations
Data Modeller / Architect - Insurance in City of London, London employer: Calibre Candidates
Contact Detail:
Calibre Candidates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller / Architect - Insurance in City of London, London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, especially those relevant to the London Market or Specialty Insurance. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Azure Data Factory and Databricks. Be ready to discuss how you've implemented data architectures in past roles. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Modeller / Architect - Insurance in City of London, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Modeller / Architect. Highlight your experience in data modelling and any relevant tools like Erwin, Azure Data Factory, and Databricks. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the insurance sector and how your background in London Market / Specialty Insurance makes you the perfect fit for us. Keep it engaging and personal!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've designed scalable data architectures or improved data integration frameworks. We love seeing the impact you've made in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Calibre Candidates
✨Know Your Data Inside Out
Make sure you brush up on your data modelling skills and be ready to discuss specific projects you've worked on. Be prepared to explain how you've designed scalable data architectures in the past, especially in the insurance sector.
✨Familiarise Yourself with Azure and Databricks
Since this role requires proficiency in Azure Data Factory and Databricks, take some time to review your knowledge of these tools. Be ready to discuss how you've used them in previous roles, particularly in pipeline design and orchestration.
✨Understand the Business Context
This position sits at the intersection of data engineering and business architecture, so it's crucial to understand how your work impacts the broader business goals. Research the company’s long-term objectives and think about how your expertise can help shape their data strategy.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of examples where you've implemented best practices for reliable data solutions or governed data architecture standards, and be ready to share your thought process.