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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.
- Other info: Join a collaborative team focused on innovation and excellence.
- Why this job: Shape enterprise data strategy and drive success in a dynamic industry.
- Qualifications: 8+ years in data architecture, strong Azure and data modelling skills.
The predicted salary is between 80000 - 100000 £ 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 P&C insurance.
- Strong hands-on experience in data modelling, including using Erwin.
- Strong background in London Market / Specialty Insurance data domains.
- 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.
Data Modeller / Architect - London Market Insurance in Slough employer: Calibre Candidates
Contact Detail:
Calibre Candidates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller / Architect - London Market Insurance in Slough
✨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 a lead on that perfect Data Modeller role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, especially those relevant to the London Market. This can really set you apart during interviews and give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of Azure Data Factory and Databricks. Be ready to discuss how you've used these tools in past projects. We want you to demonstrate your expertise and how it aligns with their enterprise data strategy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our forward-thinking team in shaping the future of data architecture.
We think you need these skills to ace Data Modeller / Architect - London Market Insurance in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data modelling and Azure, and don’t forget to mention your background in London Market Insurance. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data architecture and how you can contribute to our enterprise data strategy. Keep it engaging and relevant to the role.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them! Whether it’s designing scalable data architectures or implementing data integration frameworks, we love to see real-world examples of your work.
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 from us!
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, especially with tools like Erwin. Be ready to discuss specific projects where you've designed scalable data architectures, particularly in the London Market or Specialty Insurance domain.
✨Showcase Your Azure Expertise
Since this role requires proficiency in Azure Data Factory and Databricks, prepare to talk about your hands-on experience with these platforms. Have examples ready that demonstrate how you've implemented data integration frameworks and managed information architecture.
✨Communicate Clearly and Confidently
This position involves engaging with both technical and business stakeholders, so practice articulating complex data concepts in a way that's easy to understand. Think of scenarios where you've successfully communicated your ideas and how they benefited the project.
✨Align with Their Vision
Research the company's long-term goals and be prepared to discuss how your expertise can help shape their strategic data roadmaps. Show them that you’re not just a fit for the role, but also a partner in achieving their vision for digital transformation.