Senior Data Engineer - Pricing Analytics & Pipelines

Ascentia Partners; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

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.

Qualifications

• 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.

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.

Skills

SQL

Python

ETL/ELT pipelines

Data accuracy

Problem-solving

Analytical skills

Communication skills

Tools

Azure

AWS

GCP

PySpark

Git

Job description

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.