Pricing Data Engineer: Build Scalable Pipelines & Insights
Ascentia Partners
Greater London
On-site
GBP 60,000 - 80,000
Full time
14 days+
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Job summary
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.
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 modularize code for reusable, maintainable data components.
Support batch processing for re-priced datasets to deliver timely insights.
Collaborate with teams to align on engineering standards and best practices.
Streamline processes and enhance scalability of the pricing data ecosystem.
Skills
SQL
Python
Data accuracy
Problem-solving
Communication
Tools
Azure
AWS
GCP
PySpark
Git
Job description
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.