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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.
- Other info: Join a dynamic team and enhance decision-making across the organisation.
- 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.
The predicted salary is between 60000 - 80000 £ 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This could be anything from data pipelines you've built to analytics dashboards. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Think about how you would tackle challenges related to ETL/ELT processes or data quality issues. We want you to shine when it comes to problem-solving!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer - Pricing Analytics & Pipelines in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in past projects, especially when it comes to building and managing ETL/ELT pipelines.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Data Engineer role. We love seeing candidates who understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience without wading through unnecessary fluff.
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 the role. Plus, it shows you’re keen on joining our team!
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 ready 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, be prepared to explain your experience with these processes. Have a couple of examples ready that showcase how you've designed or optimised data pipelines in the past.
✨Showcase Your Collaboration Skills
This position requires working with various teams, so highlight your teamwork experiences. Think of instances where you collaborated with others to enhance decision-making or improve data quality, and be ready to share those stories.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your analytical thinking and problem-solving skills. Practice articulating your thought process clearly, as this will show your ability to innovate and streamline data processes in a fast-paced environment.