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- Tasks: Build scalable cloud data platforms and optimise data pipelines.
- Company: Leading UK insurance company with an innovative data team.
- Benefits: Comprehensive health benefits, generous holiday allowances, and flexible working options.
- Other info: Flexible hybrid work environment with opportunities for career growth.
- Why this job: Join a dynamic team and make a real impact in the data engineering field.
- Qualifications: Strong Python skills and experience with Databricks or Snowflake.
The predicted salary is between 60000 - 80000 £ per year.
A leading insurance company in the UK seeks a Senior Data Engineer to enhance its innovative data team. The position offers flexible working options and involves building scalable cloud data platforms.
Responsibilities include:
- Optimizing data pipelines
- Collaboration with a diverse group of engineers and architects
Ideal candidates will have strong Python skills and experience with Databricks or Snowflake. The role comes with a comprehensive benefits package including health benefits and generous holiday allowances.
Senior Data Engineer — Flexible UK (Hybrid) employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Flexible UK (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data projects, especially those involving Python, Databricks, or Snowflake. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data engineering concepts and coding challenges. We can even set up mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Engineer — Flexible UK (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any work you've done with Databricks or Snowflake. 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! Use it to explain why you’re excited about joining our innovative data team and how you can contribute to building scalable cloud data platforms. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working with a diverse group of engineers and architects, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love teamwork, so let us know how you fit into that picture!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our fantastic team at StudySmarter!
How to prepare for a job interview at Ageas
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with Databricks or Snowflake. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience and problem-solving abilities.
✨Showcase Your Collaboration Skills
Since the role involves working with a diverse group of engineers and architects, be prepared to share examples of how you've successfully collaborated in past projects. Highlight your communication style and how you adapt to different team dynamics.
✨Understand the Company’s Data Needs
Research the insurance company and its data challenges. Think about how your skills can help them build scalable cloud data platforms and optimise their data pipelines. This shows that you're not just interested in the role, but also in contributing to their success.
✨Prepare Questions That Matter
Have a few thoughtful questions ready to ask at the end of the interview. Inquire about their current data projects or the tools they use. This demonstrates your genuine interest in the position and helps you assess if it's the right fit for you.