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- Tasks: Develop and maintain strategic data platforms for insurance analytics.
- Company: Leading insurance provider in the heart of London.
- Benefits: Competitive salary up to £90,000 and flexible hybrid working.
- Why this job: Enhance underwriting analytics and collaborate with diverse stakeholders.
- Qualifications: Experience with Azure, strong SQL and Python skills, insurance background preferred.
- Other info: Opportunity for growth in a dynamic and innovative environment.
The predicted salary is between 54000 - 72000 £ per year.
A leading provider of insurance in the City of London is seeking a Data Engineer to develop and maintain strategic data platforms. The role focuses on enhancing underwriting analytics through Data Lakehouse while collaborating with various stakeholders.
Candidates should have:
- Hands-on experience with Azure services
- Strong SQL and Python skills
- An insurance background
This position offers a competitive salary of up to £90,000 and requires 3 days in the office per week.
Hybrid Data Engineer - Insurance Analytics & Lakehouse in City of London employer: Finitas
Contact Detail:
Finitas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer - Insurance Analytics & Lakehouse in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or experience with Azure, SQL, or Python, be ready to discuss them in detail during interviews. Real-world examples can really impress.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of underwriting analytics and how Data Lakehouse works. Being able to talk about these topics confidently will set you apart.
✨Tip Number 4
Don’t forget 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!
We think you need these skills to ace Hybrid Data Engineer - Insurance Analytics & Lakehouse in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure services, SQL, and Python. We want to see how your skills align with the role of a Data Engineer in insurance analytics, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background in insurance makes you a perfect fit for our team. Let us know what excites you about working with data in the insurance sector.
Showcase Your Collaboration Skills: Since this role involves working with various stakeholders, highlight any past experiences where you’ve successfully collaborated with others. We love seeing examples of teamwork and communication in your application!
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 gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Finitas
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data platforms, especially Azure services. Be ready to discuss how you've used SQL and Python in past projects, particularly in the context of insurance analytics.
✨Showcase Your Collaboration Skills
Since this role involves working with various stakeholders, prepare examples of how you've successfully collaborated in previous roles. Highlight any experience you have in cross-functional teams, especially in the insurance sector.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of Data Lakehouse concepts and your coding skills. Practise coding challenges in Python and SQL to ensure you're sharp and ready to demonstrate your expertise.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's data strategy and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.
