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- Tasks: Build and maintain data pipelines for pricing analytics and underwriting performance.
- Company: Modern insurance provider focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Innovate and streamline data processes in a fast-paced, impactful environment.
- Qualifications: Strong SQL and Python skills, with experience in ETL/ELT pipeline management.
- Other info: Join a dynamic team and enhance decision-making across the organisation.
The predicted salary is between 36000 - 60000 £ per year.
A modern insurance provider is seeking a talented Data Engineer to build and maintain the data foundations for pricing analytics and underwriting performance. This role involves designing and scaling data pipelines, ensuring data quality and reliability, and collaborating with various teams to enhance decision-making processes.
Ideal candidates should have strong SQL and Python skills, along with experience in managing ETL/ELT pipelines. This position offers the opportunity to innovate and streamline data processes in a fast-paced environment.
Senior Data Engineer - Pricing Analytics & Pipelines employer: Ascentia Partners
Contact Detail:
Ascentia Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Pricing Analytics & Pipelines
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry 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 or a GitHub repository showcasing your SQL and Python projects. This gives us a chance to demonstrate our expertise in building data pipelines.
✨Tip Number 3
Ace the interview by practising common data engineering questions. We should be ready to discuss our experience with ETL/ELT processes and how we ensure data quality and reliability.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our relevant experience in pricing analytics.
We think you need these skills to ace Senior Data Engineer - Pricing Analytics & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as your experience with ETL/ELT pipelines. We want to see how your background aligns with the role of a Senior Data Engineer in pricing analytics.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for data engineering and how you can contribute to enhancing decision-making processes. We love seeing candidates who can communicate their ideas clearly and effectively.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We’re interested in how you’ve designed and scaled data pipelines in the past, so don’t hold back!
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 in a fast-paced environment.
How to prepare for a job interview at Ascentia Partners
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with real-world examples.
✨Understand ETL/ELT Processes
Since this role involves managing ETL/ELT pipelines, it’s crucial to have a solid understanding of these processes. Be ready to explain your experience with them, including any challenges you faced and how you overcame them. This will show your potential employer that you can handle the technical demands of the job.
✨Showcase Your Collaboration Skills
This position requires working with various teams, so highlight your collaboration skills during the interview. Think of examples where you successfully worked with others to enhance decision-making processes, and be ready to discuss how you can contribute to a team-oriented environment.
✨Prepare Questions About Data Quality and Reliability
Demonstrate your interest in the role by preparing thoughtful questions about how the company ensures data quality and reliability. This shows that you’re not just focused on the technical aspects but also care about the overall impact of your work on the organisation's success.