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- Tasks: Create and manage data models to support business needs in the insurance sector.
- Company: Global professional services firm with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data in insurance.
- Qualifications: Experience in data modelling and familiarity with insurance industry terminology required.
- Other info: Exciting projects with potential for career advancement in a diverse environment.
Overview
Job Title: Data Modeler (London Markets / Insurance / Re-Insurance)
Location: London (Hybrid)
Salary/Rate: Up to £595 per day
Start Date: October 2025
Job Type: Inside IR35 contract
Company Introduction: We are currently representing a global professional services client who are recruiting for a highly skilled data modeler to work on a project in the insurance / re-insurance industry.
Note: Familiarity with London Markets or Specialty Insurance / Re Insurance (Inwards) industry data domains & terminology is a MUST HAVE for this role.
Responsibilities
- Develop and maintain data models (Logical and Physical) to support business needs ensuring data integrity and efficiency.
- Design and govern data architecture and integration standards across Azure Data Factory and Databricks to enable integrated analytics solution.
- Lead the design and implementation of scalable data architecture supporting analytics and digitalization agenda in a cross-functional team of architects from business and technology
- Manage the Information Management framework, architecture, processes, and solutions
- Be responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domains
- Review high-level designs and implementations to ensure quality, coherence and consistency with Enterprise Data architecture
- Deliver standards and patterns, controls to deploy services in a standard and repeatable way
Required Skills/Experience
- Familiarity with London market or speciality Insurance/Re Insurance(Inwards) industry data domains and terminology is MUST
- Proficiency with data modelling tools like Erwin
- Extensive experience in hands-on design, engineering, administration, and implementation of comprehensive systems and architectures in an insurance enterprise are preferred
- Understanding of insurance domain concepts with hands-on experience in data modelling is required
- Knowledge of data warehousing and ETL/ELT pipelines
- Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred
- Industry certifications in Azure, Databricks or data architecture is advantageous
- Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronise and stabilise, and DevOps)
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
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Data Modeler (Insurance / Re-Insurance Sector) employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler (Insurance / Re-Insurance Sector)
✨Network Like a Pro
Get out there and connect with folks in the insurance and re-insurance sectors. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with data modelling tools like Erwin and your familiarity with Azure Data Factory and Databricks. We want to see you shine, so prepare some examples of your past work that demonstrate your expertise.
✨Ask Smart Questions
During interviews, don’t just wait for questions to come your way. Show your interest by asking insightful questions about their data architecture and analytics strategies. This not only shows you’re engaged but also gives you a better understanding of how you can fit into their team.
✨Apply Through Our Website
If you’re keen on this role, make sure to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Modeler (Insurance / Re-Insurance Sector)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeler role. Highlight your experience with data modelling tools like Erwin and any relevant projects in the insurance or re-insurance sector. We want to see how your skills match what we're looking for!
Showcase Relevant Experience: When writing your application, emphasise your familiarity with London Markets and specialty insurance terminology. This is a must-have for us, so don’t hold back on showcasing your expertise in this area!
Keep It Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where possible to highlight your key achievements and skills related to data architecture and analytics.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to upload your CV in the right format!
How to prepare for a job interview at Square One Resources
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data modelling, especially in the context of the insurance and re-insurance sectors. Familiarity with London Markets terminology is crucial, so be prepared to discuss specific data domains and how they relate to the role.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency with data modelling tools like Erwin and your experience with Azure Data Factory and Databricks. Bring examples of past projects where you've designed and implemented data architectures, and explain how you ensured data integrity and efficiency.
✨Understand the Business Needs
During the interview, highlight your ability to align data models with business objectives. Discuss how you've previously developed strategic roadmaps for data and analytics, and how you can contribute to the company's digitalisation agenda.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly around data governance and architecture, and be ready to explain how you overcame them.
