At a Glance
- Tasks: Build and optimise data products on a modern cloud platform.
- Company: Leading UK insurance company with a focus on innovation.
- Benefits: Flexible working, diverse culture, and opportunities for growth.
- Other info: Supportive environment fostering inclusivity and collaboration.
- Why this job: Join a team driving the future of data and AI in insurance.
- Qualifications: Strong Python and SQL skills; experience with Databricks or Snowflake.
The predicted salary is between 60000 - 80000 € per year.
A leading UK insurance company is seeking a Senior Data Engineer to build and support data products within a modern data platform. The ideal candidate will have strong Python and SQL skills, with experience in Databricks or Snowflake on AWS.
Responsibilities include developing and optimizing data pipelines, and supporting ML and Generative AI workflows. The position allows for flexible working arrangements, contributing to a diverse and inclusive workplace.
Senior Data Engineer - Cloud Data Platform & GenAI in Hampshire employer: Ageas UK
As a leading UK insurance company, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. Our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements, allowing you to balance your professional and personal life while contributing to cutting-edge data solutions in the cloud and Generative AI space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Cloud Data Platform & GenAI in Hampshire
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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 projects, especially those involving Python, SQL, and cloud platforms like AWS. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering and Generative AI. Practice common interview questions and be ready to discuss your past projects.
✨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.
We think you need these skills to ace Senior Data Engineer - Cloud Data Platform & GenAI in Hampshire
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong Python and SQL skills in your application. We want to see how you've used these tools in real projects, especially if you've worked with Databricks or Snowflake on AWS.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to the Senior Data Engineer role by aligning your experience with the responsibilities mentioned in the job description. We love seeing how you can contribute to our modern data platform.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and directly related to the role.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to review your application and get back to you quickly!
How to prepare for a job interview at Ageas UK
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to Databricks or Snowflake on AWS. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Data Pipeline Experience
Prepare examples of data pipelines you've developed or optimised. Be specific about the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to contribute to their modern data platform.
✨Understand ML and Generative AI Workflows
Since the role involves supporting ML and Generative AI workflows, make sure you have a solid understanding of these concepts. Be ready to discuss any relevant experience you have, and think about how you can leverage your skills to enhance their data products.
✨Embrace Flexibility and Inclusivity
The company values a diverse and inclusive workplace, so be prepared to discuss how you can contribute to this culture. Share your thoughts on flexible working arrangements and how they can benefit both you and the team. This shows that you align with their values and are a good fit for their environment.
