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- Tasks: Build and maintain data pipelines for pricing analytics in a dynamic insurance environment.
- Company: A modern, digital-first home insurance provider focused on data-driven solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and scalability.
- Why this job: Join a passionate team and make a real impact on data-driven decision-making.
- Qualifications: Strong SQL and Python skills, with experience in ETL/ELT pipeline management.
The predicted salary is between 75000 - 85000 £ per year.
A modern, data-led, digital-first home insurance provider is seeking a talented Data Engineer to build and maintain the data foundations powering pricing analytics and underwriting performance. You do not need to have pricing specific experience, more the data engineering skills.
Role Overview
This is a highly autonomous, technically-focused role for someone passionate about data, code, and outcomes. You will design, build, and scale modular, end-to-end data pipelines, ensuring data quality, consistency, and scalability. Collaborating with Pricing, Underwriting, Data Science, and Engineering teams, you will enable smarter, faster decision-making by providing accurate, reliable, and timely pricing insights.
Key Responsibilities
- Own and evolve the data platform and pipelines for pricing analytics.
- Implement governance, validation, and alerting to ensure data integrity and reliability.
- Consolidate and modularise code for reusable, maintainable data components.
- Support batch processing for re‑priced datasets to deliver timely pricing and underwriting insights.
- Collaborate with teams to align on engineering standards and best practices.
- Streamline processes and enhance the scalability of the pricing data ecosystem.
Requirements
- Strong experience in SQL and Python (or similar object-oriented language).
- Proven experience designing and managing ETL/ELT pipelines.
- Meticulous attention to detail with a focus on data accuracy and process reliability.
- Self‑starter with strong problem‑solving, analytical, and communication skills.
Highly Advantageous
- Experience with cloud platforms (e.g., Azure, AWS, or GCP).
- Familiarity with PySpark or other big data technologies.
- Understanding of version control (e.g., Git).
- Knowledge of pricing or modelling workflows and how engineering choices affect model performance.
Senior Data Engineer - London - £75,000-£85,000 - Hybrid - Insurance employer: Ascentia Partners
Contact Detail:
Ascentia Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - London - £75,000-£85,000 - Hybrid - Insurance
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates like you. It shows initiative and gives us a chance to see your enthusiasm for the role.
We think you need these skills to ace Senior Data Engineer - London - £75,000-£85,000 - Hybrid - Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and ETL/ELT pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We’re looking for self-starters who can think critically and come up with innovative solutions, so let us know how you’ve done this in the past!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Ascentia Partners
✨Know Your Data Engineering Basics
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've designed and managed ETL/ELT pipelines in your previous roles. Having specific examples at hand will show your expertise and confidence.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data engineering and how you tackled them. This role requires a self-starter with strong analytical skills, so sharing real-life scenarios where you solved complex problems will impress the interviewers.
✨Understand the Company’s Data Needs
Research the company’s approach to pricing analytics and underwriting performance. Knowing their data ecosystem and how your skills can enhance it will demonstrate your genuine interest in the role and help you align your answers with their needs.
✨Collaborate and Communicate
Since this role involves working with various teams, be prepared to discuss your experience in collaboration. Highlight instances where you’ve worked with cross-functional teams to achieve common goals, as effective communication is key in this position.