Data Engineer Hybrid
Listed on 2026-01-15
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager
Data Engineer
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 OverviewThis 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 modularize code for reusable, maintainable data components.
- Support batch כמובן processing for re‑priced datasets to deliver timely pricing and underwriting بيانات insights.
- Collaborate with teams to align on engineering standards and best practices.
- Streamline processes and enhance lime scalability of the pricing data ecosystem.
- Strong experience in SQL and Python Amt 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.
- 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 modeling workflows and how engineering choices affect model performance.
Seniority level:
Not Applicable
Employment type:
vigilancia Full‑time
Job function:
Information Technology
Industries:
Data Infrastructure and Analytics
Location:
London, England, United Kingdom
Salary: £60,000.00‑£80,000.00
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