At a Glance
- Tasks: Build and maintain scalable data pipelines while collaborating with global teams.
- Company: Join a leading insurance data team in vibrant London.
- Benefits: Hybrid work model and competitive salary up to £80,000 p/a.
- Why this job: Make an impact in the insurance sector using cutting-edge data technologies.
- Qualifications: Experience in Python, PySpark, SQL Server, and Cosmos DB required.
The predicted salary is between 80000 - 80000 € per year.
JSS is looking for a Data Engineer with insurance experience to join their data team in London. The role involves building and maintaining scalable data pipelines, performing data integration, and collaborating with teams across onshore and offshore locations.
Required skills include:
- Python
- PySpark
- Microsoft Fabric
- Experience in SQL Server
- Cosmos DB
This position offers a hybrid work model and pays up to £80,000 p/a.
Insurance Data Engineer — Hybrid London, ETL/PySpark/Fabric employer: JSS
JSS is an excellent employer that fosters a collaborative and innovative work culture, particularly for those in the insurance data sector. With a hybrid work model, employees enjoy flexibility while being part of a dynamic team that values professional growth and development through ongoing training and mentorship opportunities. Located in London, JSS offers competitive salaries and a supportive environment that encourages creativity and teamwork, making it an ideal place for data engineers looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Insurance Data Engineer — Hybrid London, ETL/PySpark/Fabric
✨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! Create a portfolio showcasing your ETL processes, PySpark projects, or any cool data pipelines you've built. Visuals speak louder than words!
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL Server and Cosmos DB knowledge, and be ready to discuss how you’ve tackled data challenges in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from our platform, and it shows you're genuinely interested in joining our team.
We think you need these skills to ace Insurance Data Engineer — Hybrid London, ETL/PySpark/Fabric
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, PySpark, and data integration. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering in the insurance sector and how your background makes you a perfect fit for our team.
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled challenges in building scalable data pipelines. We love seeing how you think critically and creatively when faced with obstacles.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at JSS
✨Know Your Tech Inside Out
Make sure you brush up on your Python, PySpark, and Microsoft Fabric skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Insurance Domain
Since this role is in the insurance sector, it’s crucial to have a solid understanding of how data engineering applies to insurance. Familiarise yourself with common data challenges in the industry and be prepared to share your insights during the interview.
✨Showcase Your Collaboration Skills
This position involves working with teams across different locations. Think of examples where you've successfully collaborated with others, especially in hybrid or remote settings. Highlight your communication skills and adaptability.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare for scenarios where you might need to design a data pipeline or troubleshoot an issue. Practising these types of questions can help you articulate your thought process clearly.
