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- Tasks: Transform and optimise data models for scalable analytics in the insurance sector.
- Company: Join Infosys, a leader in data modernization and analytics.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry with cutting-edge data technologies.
- Qualifications: 8-10 years experience in data modeling, SQL Server, and Snowflake expertise required.
- Other info: Mentorship opportunities and a dynamic work environment await you.
The predicted salary is between 48000 - 72000 £ per year.
We’re Hiring: Senior Data Modeler (Contract) — London, UK.
Location: London, UK. Work Mode: Hybrid – 2–3 days WFO depending on business needs. Base Office: Infosys Office (with on-need visits to client office). Contract Duration: 6–12 months. Industry: Insurance (London Market / Specialized Insurance).
Infosys is looking for an experienced Senior Data Modeler to support a large-scale data modernization and analytics initiative within the Insurance domain. This role focuses on transforming and optimizing enterprise data models from SQL Server to Snowflake to enable scalable analytics, reporting, and regulatory compliance.
Key Responsibilities- Analyze and understand existing customer data and analytics models built on SQL Server.
- Design and implement efficient, scalable data models on Snowflake.
- Collaborate closely with Business Analysts and cross-functional teams to gather requirements and translate them into optimized data structures.
- Support the transformation of enterprise data models for high-performance analytics and reporting.
- Apply best practices in dimensional modeling, normalization, and metadata management.
- Participate in architecture reviews and contribute to data governance initiatives.
- Mentor junior data modelers and contribute to documentation, knowledge sharing, and capability building.
- 8–10 years of overall experience, with 5+ years in data modeling and database design.
- Strong expertise in SQL Server and Snowflake data modeling.
- Advanced SQL skills for data analysis and validation.
- Solid understanding of data architecture principles and data governance.
- Proven experience in the Insurance domain (London Market, Specialized Insurance, Regulatory Data).
- Excellent communication and stakeholder management skills.
- Experience with ETL tools and data integration processes.
- Knowledge of data warehousing concepts and cloud data platforms.
- Exposure to Fivetran, SSIS, or advanced Snowflake features.
Senior Data Modeler employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeler
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data modelling sectors. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous data modelling projects, especially those involving SQL Server and Snowflake. This will give you an edge when discussing your experience with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in data modelling and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Modeler role. Highlight your experience with SQL Server and Snowflake, and don’t forget to mention your background in the insurance domain. We want to see how your skills match what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of your past work that relate to data modeling and analytics. Let us know how you can contribute to our team!
Showcase Your Communication Skills: Since this role involves collaboration with various teams, make sure to demonstrate your excellent communication skills in your application. We love candidates who can clearly articulate their ideas and work well with others, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Natobotics
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with SQL Server and Snowflake. Be ready to discuss specific projects where you transformed data models or optimised analytics. This will show your expertise and give you confidence during technical discussions.
✨Brush Up on Insurance Knowledge
Since this role is in the insurance sector, make sure you understand the nuances of the London Market and specialised insurance. Familiarise yourself with regulatory requirements and how they impact data modelling. This knowledge will help you connect with the interviewers and demonstrate your industry relevance.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data modelling and governance. Think about how you would approach transforming enterprise data models for high-performance analytics. Practising these scenarios can help you articulate your thought process clearly.
✨Showcase Your Mentoring Skills
As a Senior Data Modeler, you'll likely be mentoring junior team members. Be prepared to discuss your mentoring style and any previous experiences where you've helped others grow. Highlighting this aspect can set you apart as a collaborative team player.
