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- Tasks: Analyse and design data models for SQL Server and Snowflake, ensuring scalability and compliance.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, bonuses, and opportunities for continuous learning.
- Why this job: Make an impact in the insurance domain while working with cutting-edge technology.
- Qualifications: 5+ years in data modeling, strong SQL skills, and insurance domain knowledge.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Data Modeler who can analyse and understand the existing customer data and analytics models on SQL Server, and design efficient data models for Snowflake. This individual will work closely with multiple Business Analysts to gather requirements and translate them into optimized data structures, ensuring scalability and compliance with industry standards. A strong understanding of Insurance domain concepts—including Specialized Insurance, London Market, and Regulatory Data—is essential for success in this role.
Responsibilities:
- Analyse and document the current data model in SQL Server for customer data and analytics.
- Design and implement new data models or modify existing ones for Snowflake.
- Ensure models adhere to best practices for normalization, performance, and scalability.
- Collaborate with data engineering teams to implement models effectively.
- Work closely with Business Analysts to understand business requirements.
- Translate functional requirements into logical and physical data models.
- Provide impact analysis for changes to existing models and propose efficient solutions.
- Apply knowledge of Insurance domain, including London Market practices and regulatory & compliance data requirements.
- Ensure data models align with industry standards and regulatory guidelines.
Required:
- 5+ years of experience in data modeling and database design.
- Strong expertise in SQL Server and Snowflake data modeling.
- Proficiency in SQL for data analysis and validation.
- Experience in data architecture principles and data governance.
- Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data).
- Excellent communication and stakeholder management skills.
Preferred:
- Experience with ETL tools and data integration processes.
- Familiarity with data warehousing concepts and cloud data platforms.
- Exposure to Fivetran, SSIS, or Snowflake advanced features.
Personal:
- High analytical skills.
- A high degree of initiative and flexibility.
- High customer orientation.
- High quality awareness.
- Excellent verbal and written communication skills.
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.
“All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.”
Data Modeler in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events related to data modelling and insurance. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your data models or projects you've worked on. This gives potential employers a tangible look at what you can do, especially with SQL Server and Snowflake.
✨Ace the Interview
Prepare for those interviews by brushing up on common data modelling questions and scenarios. Be ready to discuss how you've tackled challenges in the past, especially in the insurance domain. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Modeler in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeler role. Highlight your experience with SQL Server and Snowflake, and don’t forget to mention your understanding of the Insurance domain. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed data models or worked on data architecture. This gives us a clear picture of your hands-on experience and how you can contribute to our team. Be proud of your work and let it shine!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data modelling and how your background aligns with our needs. Keep it engaging and personal – we love to see your personality!
Apply Through Our Website: We encourage you to apply directly 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 – just follow the prompts and submit your details!
How to prepare for a job interview at Infosys
✨Know Your Data Models
Before the interview, brush up on your knowledge of SQL Server and Snowflake data models. Be ready to discuss specific examples of how you've designed or modified data models in the past, especially in relation to customer data and analytics.
✨Understand the Insurance Domain
Make sure you have a solid grasp of insurance concepts, particularly those relevant to the London Market and regulatory requirements. This will help you demonstrate your expertise and show that you can effectively translate business needs into data structures.
✨Prepare for Collaboration Questions
Since you'll be working closely with Business Analysts and data engineering teams, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you’ve gathered requirements to create effective data models.
✨Showcase Your Analytical Skills
Be prepared to discuss how you approach problem-solving and impact analysis for changes to existing models. Share specific instances where your analytical skills led to improved data structures or compliance with industry standards.
