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- Tasks: Build and maintain scalable data pipelines in a fast-paced team.
- Company: Dynamic insurance company offering hybrid work in London.
- Benefits: Competitive salary up to £80,000 and flexible working arrangements.
- Other info: Thriving environment with opportunities for growth and development.
- Why this job: Join a collaborative team and make an impact in the insurance sector.
- Qualifications: Experience as a Data Engineer with strong Python and SQL skills.
The predicted salary is between 80000 - 80000 £ per year.
This role is paying up to £80,000 p/a and is hybrid working in London.
Must have insurance experience
We are looking for a Data Engineer with strong technical skills and experience in the insurance sector to join a fast-paced data team.
Key Responsibilities
- Build and maintain scalable data pipelines (full ETL lifecycle)
- Perform data cleaning, transformation, and integration
- Work with Microsoft Fabric, Notebooks, Python, and PySpark
- Manage and develop solutions using SQL Server and Cosmos DB
- Handle multiple data formats and support data processing workflows
- Collaborate closely with Data Engineering and Business Intelligence teams across onshore and offshore locations
Requirements
- Proven experience as a Data Engineer
- Strong skills in Python, PySpark, and Microsoft Fabric
- Experience with SQL Server and Cosmos DB
- Ability to design and deliver ETL pipelines
- Comfortable working in high-pressure environments
Desirable
- Insurance industry experience (ideally 2+ years)
- Experience within insurers or carriers strongly preferred
We are seeking a resilient, adaptable engineer who can thrive in a collaborative and fast-moving insurance data environment.
Ingegnere dei dati (f/m) in London employer: JSS
Contact Detail:
JSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance sector and let them know you're on the hunt for a Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL processes, and any projects you've worked on with Python or PySpark. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and industry trends. Be ready to discuss how you've tackled challenges in previous roles, especially in the insurance sector. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Ingegnere dei dati (f/m) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the insurance sector and showcases your technical skills. We want to see how your background aligns with the role of a Data Engineer, so don’t hold back on those 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 experience makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, be sure to highlight your proficiency in Python, PySpark, and Microsoft Fabric. We’re looking for someone who can hit the ground running, so let us know how you’ve used these tools in past roles.
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 JSS
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python, PySpark, and Microsoft Fabric. Be ready to discuss specific projects where you've built or maintained data pipelines, as this will show your hands-on experience.
✨Showcase Your Insurance Knowledge
Since the role requires insurance experience, be prepared to talk about your background in the industry. Highlight any relevant projects or challenges you've faced in the insurance sector to demonstrate your understanding of the domain.
✨Prepare for Scenario Questions
Expect questions that assess how you handle high-pressure situations. Think of examples from your past where you successfully managed tight deadlines or complex data challenges, and be ready to explain your thought process.
✨Collaborate and Communicate
This role involves working closely with various teams, so be ready to discuss how you’ve collaborated in previous roles. Share examples of how you’ve communicated effectively with both technical and non-technical stakeholders to ensure project success.