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For Companies At a Glance
- Tasks: Build and maintain scalable data pipelines and perform data cleaning and transformation.
- Company: Fast-paced data team in the insurance sector with a hybrid working model.
- Benefits: Competitive salary up to £80,000 and flexible working arrangements.
- Other info: Ideal for resilient engineers looking to thrive in a collaborative environment.
- Why this job: Join a dynamic team and make an impact in the insurance industry with your data skills.
- Qualifications: Proven 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.
Senior Engineer, Data Engineering in London employer: JSS
Contact Detail:
JSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering 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! Prepare a portfolio showcasing your best data pipelines and projects, especially those related to ETL processes. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Ace the interview by doing your homework! Research the company’s data practices and be ready to discuss how your experience with Python, PySpark, and SQL Server can help them tackle their challenges in the insurance space.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Engineer, Data Engineering 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, so don’t be shy about emphasising relevant projects!
Showcase Your Technical Skills: When writing your application, be specific about your experience with Python, PySpark, and Microsoft Fabric. We love seeing concrete examples of how you've built and maintained data pipelines, so include those details!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out. Remember, we’re looking for someone who can thrive in a fast-paced environment!
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 shows us you’re keen on joining our team!
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 ETL pipelines, as this will show your hands-on experience.
✨Showcase Your Insurance Knowledge
Since the role requires insurance experience, prepare examples from your past work that highlight your understanding of the industry. Discuss any challenges you faced and how you overcame them, as this will demonstrate your adaptability.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in high-pressure situations. Think of scenarios where you had to manage multiple data formats or collaborate with teams across different locations, and be ready to explain your approach.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared about the team dynamics or the specific data challenges they face. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.