At a Glance
- Tasks: Build and maintain scalable data pipelines while collaborating with global teams.
- Company: Join a leading insurance data team in London with a hybrid work model.
- Benefits: Earn up to £80,000 p/a with flexible working options.
- 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 exceptional employer that fosters a collaborative and innovative work culture, particularly for our Data Engineers in London. With a hybrid work model, competitive salary, and opportunities for professional growth, we empower our employees to excel in their roles while enjoying a balanced work-life dynamic. Join us to be part of a forward-thinking team that values your contributions and supports your career development in the exciting field of insurance data engineering.
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! If you’ve got a portfolio or GitHub with projects using Python, PySpark, or Microsoft Fabric, make sure to highlight it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical questions! Brush up on your SQL Server and Cosmos DB knowledge. We all know those tricky questions can pop up, so being ready will give you an edge.
✨Tip Number 4
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 are proactive about their job search!
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 great fit for our team.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in building scalable data pipelines. We love seeing how you approach problems and find solutions!
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 Stack
Make sure you’re well-versed in Python, PySpark, and Microsoft Fabric. Brush up on your SQL Server and Cosmos DB knowledge too. Being able to discuss specific projects where you've used these technologies will show that you’re not just familiar with them, but that you can apply them effectively.
✨Showcase Your Data Pipeline Skills
Prepare examples of how you've built and maintained scalable data pipelines in the past. Be ready to explain the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to work under pressure.
✨Collaboration is Key
Since this role involves working with teams across different locations, highlight your experience in collaborative projects. Share specific instances where you’ve successfully worked with onshore and offshore teams, and how you navigated any communication hurdles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the tools they use. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.
