At a Glance
- Tasks: Develop data pipelines and support the company's data-driven initiatives.
- Company: Leading insurance technology firm based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and data strategy.
- Why this job: Make a real impact in the insurance industry with cutting-edge data technologies.
- Qualifications: 5+ years of experience with Python, Spark, SQL, and cloud platforms.
The predicted salary is between 70000 - 90000 £ per year.
An insurance technology firm in London is seeking a Lead Data Engineer to support their data-driven initiatives. The role involves developing data pipelines, ensuring technical infrastructure for the data platform, and contributing to the overall data strategy of the company.
Ideal candidates will have:
- Over 5 years of experience
- Strong knowledge of Python, Spark, and SQL
- Experience with cloud providers like Azure, AWS, or GCP
This is an excellent opportunity for those looking to make an impact in the insurance industry.
Lead Data Platform Engineer (Azure/Spark) employer: CFC Underwriting
Join a forward-thinking insurance technology firm in London, where innovation meets opportunity. We pride ourselves on fostering a collaborative work culture that encourages professional growth and development, offering comprehensive benefits and a supportive environment for our employees. As a Lead Data Platform Engineer, you will play a pivotal role in shaping our data strategy while enjoying the unique advantages of working in one of the world's most dynamic cities.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer (Azure/Spark)
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance tech space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Python, Spark, and SQL. We want to see your work in action, so don’t be shy about sharing it during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Azure knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Platform Engineer (Azure/Spark)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Spark, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 you can contribute to our data-driven initiatives. Let us know what excites you about working in the insurance tech space.
Showcase Your Experience:With over 5 years of experience being ideal, make sure to detail your past roles and responsibilities. We’re particularly interested in your work with cloud providers like Azure, AWS, or GCP, so highlight those experiences!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at CFC Underwriting
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, Spark, and SQL. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Cloud Experience
Since the role involves working with cloud providers like Azure, AWS, or GCP, be prepared to talk about your experience with these platforms. Highlight any relevant projects and how you leveraged cloud services to enhance data pipelines.
✨Understand the Business Impact
This position is all about making an impact in the insurance industry. Research the company’s data-driven initiatives and think about how your skills can contribute to their overall data strategy. Be ready to share your thoughts on how data can drive business decisions.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when faced with technical challenges, especially those related to data infrastructure and pipeline development.
