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- Tasks: Build and optimise data products on a modern cloud platform.
- Company: Leading UK insurance company with a focus on innovation.
- Benefits: Flexible working arrangements and a diverse, inclusive workplace.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Join a team driving advancements in ML and Generative AI.
- 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
- 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 employer: Ageas UK
Contact Detail:
Ageas UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Cloud Data Platform & GenAI
✨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 show your interest in joining our diverse and inclusive team.
We think you need these skills to ace Senior Data Engineer - Cloud Data Platform & GenAI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your 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 job description. Mention your experience with data pipelines and any work you've done with ML or Generative AI workflows. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to break down your achievements.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes straight to us. Plus, we love seeing candidates who take that extra step!
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 support ML and Generative AI workflows, which is key for this role.
✨Understand the Company’s Values
Research the insurance company’s mission and values, especially their commitment to diversity and inclusion. Be ready to discuss how you can contribute to this culture, as it’s important for them to find someone who aligns with their ethos.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data platform they use, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation.