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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: Competitive daily rate, hybrid work model, and contract flexibility.
- 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: Mentor junior team members and contribute to innovative data governance initiatives.
The predicted salary is between 40000 - 63000 £ per year.
Location: London, England, United Kingdom
Salary: £400 - £450 /day
Job Type: Contract
Date Posted: January 27th, 2026
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
Mandatory Skills & Experience
- 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
Desired 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
We’re Hiring: Senior Data Modeler (Contract)
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.
Senior Data Modeler employer: N Consulting Limited
Contact Detail:
N Consulting Limited 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 industry, especially those who work in data modelling or insurance. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and projects. This is your chance to demonstrate your expertise in SQL Server and Snowflake, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex data concepts in simple terms, as you'll need to collaborate with Business Analysts and cross-functional teams.
✨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 take the initiative to connect directly with us.
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 any relevant projects 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. Talk about your experience in data modeling and how you’ve collaborated with cross-functional teams. Let us know what excites you about working with us at StudySmarter!
Showcase Your Achievements: When detailing your experience, focus on your achievements rather than just listing responsibilities. Did you improve a data model that led to better analytics? Share those success stories! We love to see how you’ve made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application 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 to do!
How to prepare for a job interview at N Consulting Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL Server and Snowflake data modeling. Brush up on your advanced SQL skills and be ready to discuss how you've applied them in previous roles, especially in the insurance domain. This will show that you can hit the ground running.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Business Analysts and cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight any specific projects where you gathered requirements and translated them into effective data structures.
✨Demonstrate Your Understanding of Data Governance
Be prepared to discuss data architecture principles and governance practices. Share your experiences in architecture reviews and how you've contributed to data governance initiatives. This will demonstrate your commitment to best practices in data management.
✨Mentorship Matters
As a Senior Data Modeler, mentoring junior team members is key. Think of instances where you've shared knowledge or built capabilities within your team. This shows that you’re not just a technical expert but also a team player who values growth and development.
