Senior Data Engineer: Databricks, Python & SQL | Hybrid London

Arthur Recruitment; Greater London; Hybrid; GBP 90,000 - 115,000; Full time

Benefits offered by this job

Bonus

Benefits

Job summary

Arthur Recruitment is helping an established London-based insurer recruit a hands-on Data Engineer to join the Data & Technology function. The role focuses on Databricks, Python and SQL to own data engineering solutions and deliver MI, analytics and reporting for underwriting and risk teams.

The candidate will build and optimize ETL/ELT pipelines, design data models and ensure data quality and governance across the organisation, with hybrid working in London.

Qualifications

• Strong Databricks, Python and SQL development experience.
• Hands-on ETL/ELT pipeline building experience.
• Insurance sector experience preferred (London Market/Lloyd's).

Responsibilities

• Develop, maintain and optimise ETL/ELT pipelines and data warehousing solutions.
• Work extensively with Databricks, Python and SQL to transform, process and manage data.
• Design and enhance data models to support reporting and analytics.
• Monitor and troubleshoot data pipelines, ensuring reliability, accuracy and performance.
• Work closely with Exposure Management and wider business teams to understand data requirements.
• Support the delivery of Management Information (MI), reporting and analytics solutions.
• Improve data quality, integration and governance across the business.
• Contribute to the ongoing development of the organisation's data engineering capabilities.

Skills

Databricks

Python

SQL

ETL/ELT pipelines

Data warehousing

Data modelling

Data governance

Job description

Arthur Recruitment is helping an established London-based insurer recruit a hands-on Data Engineer to join the Data & Technology function. The role focuses on Databricks, Python and SQL to own data engineering solutions and deliver MI, analytics and reporting for underwriting and risk teams.

The candidate will build and optimize ETL/ELT pipelines, design data models and ensure data quality and governance across the organisation, with hybrid working in London.