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- Tasks: Build and maintain data pipelines for pricing analytics and underwriting performance.
- Company: Modern insurance tech company based in London, fostering innovation.
- Benefits: Competitive salary of £60,000 to £80,000 and full-time contract.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the insurance tech space.
- Qualifications: Strong SQL and Python skills, with ETL/ELT pipeline experience.
The predicted salary is between 60000 - 80000 £ per year.
A modern insurance technology company is seeking a talented Data Engineer to build and maintain data foundations for pricing analytics and underwriting performance in London, England. The role involves designing and scaling data pipelines, ensuring data integrity, and collaborating with various teams.
The ideal candidate has strong SQL and Python skills, with experience in ETL/ELT pipelines and a passion for data.
The position offers a full-time contract and a salary range of £60,000 to £80,000.
Pricing Data Engineer: Build Scalable Pipelines & Insights in London employer: Ascentia Partners
Contact Detail:
Ascentia Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Engineer: Build Scalable Pipelines & Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, SQL queries, and any projects you've worked on. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing scalable pipelines and how you ensure data integrity.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Pricing Data Engineer: Build Scalable Pipelines & Insights 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 real projects, especially when it comes to building data pipelines.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the role by mentioning your experience with ETL/ELT processes and how you’ve ensured data integrity in past projects. This helps us see why you're a great fit!
Collaborate Like a Pro: Since this role involves working with various teams, share examples of how you've collaborated in the past. We love seeing candidates who can work well with others and contribute to a team environment.
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 keep track of your application and get back to you quickly!
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, especially in building ETL/ELT pipelines. Practising coding challenges can also help you feel more confident.
✨Understand Data Pipeline Design
Familiarise yourself with the principles of designing scalable data pipelines. Be prepared to explain your approach to ensuring data integrity and how you would tackle common challenges in data engineering. This shows that you’re not just a coder but a problem solver.
✨Collaborate Like a Pro
Since the role involves working with various teams, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you’ve managed to bridge gaps between technical and non-technical stakeholders.
✨Show Your Passion for Data
Let your enthusiasm for data shine through during the interview. Share any personal projects or experiences that demonstrate your love for data analytics and how it drives your work. This can set you apart from other candidates who may have similar technical skills.