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Data Engineer Hybrid

Job in London, Greater London, EC1A, England, UK
Listing for: Ascentia Partners
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 75000 - 85000 GBP Yearly GBP 75000.00 85000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer  - £75,000-£85,000 - Hybrid

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 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 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.
Requirements
  • 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.
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 modeling workflows and how engineering choices affect model performance.
Employment Details

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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