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- Tasks: Analyse customer data and design efficient models for Snowflake.
- Company: Global leader in digital services with a focus on innovation.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data modelling.
- Qualifications: 5+ years in data modelling with strong SQL Server and Snowflake skills.
- Other info: Full-time position based in London with a collaborative work environment.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in digital services is seeking an experienced Data Modeler to analyze existing customer data and design efficient models for Snowflake. Ideal candidates will have at least 5 years of experience in data modeling and strong expertise in SQL Server and Snowflake.
You will work closely with Business Analysts and data engineering teams to translate requirements into optimized data structures. This position is full-time, located in London, and offers competitive compensation including bonuses.
London-based Insurance Data Modeler (Snowflake & SQL) employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London-based Insurance Data Modeler (Snowflake & SQL)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects you've worked on. This is a great way to demonstrate your expertise in Snowflake and SQL, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling scenarios and SQL queries. Practice explaining your thought process when designing data structures, as this will help you impress the interviewers with your analytical skills.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities, and applying directly can sometimes give you an edge over other candidates. Plus, we love seeing applications from passionate individuals like you!
We think you need these skills to ace London-based Insurance Data Modeler (Snowflake & SQL)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data modeling, SQL Server, and Snowflake. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the role and how your experience aligns with our needs. Keep it concise but impactful – we love a good story!
Showcase Your Collaboration Skills: Since you'll be working closely with Business Analysts and data engineering teams, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you contribute!
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 a few clicks and you’re done!
How to prepare for a job interview at Infosys
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling skills, especially with Snowflake and SQL. Be prepared to discuss specific projects where you've designed models, the challenges you faced, and how you overcame them. This will show your depth of knowledge and practical experience.
✨Understand the Business Context
Familiarise yourself with how data modelling impacts business decisions. Research the company’s industry and think about how effective data structures can drive insights. This will help you connect your technical skills to real-world applications during the interview.
✨Prepare for Technical Questions
Expect to face technical questions that test your SQL and Snowflake expertise. Practice writing queries and designing data models on the spot. You might even be asked to solve a problem or optimise a model, so be ready to demonstrate your thought process clearly.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Business Analysts and data engineering teams, highlight your teamwork experiences. Share examples of how you've successfully collaborated in the past, focusing on communication and how you translated requirements into actionable data structures.
