Currently partnered with a growing Managing General Underwriter who are seeking a skilled Data Engineer to join the Digital and Technology team. Working closely with business units to develop scalable data infrastructure. In this role, you will be responsible for: Designing, building, and maintaining the systems and architecture that support data processing, integration, and analysis across the organisation. Ensuring data flows efficiently and accurately between systems, supporting data-driven decision-making throughout the business. Design, develop, and maintain reliable and scalable ETL (Extract, Transform, Load) pipelines to integrate data from multiple sources into our data warehouse or other storage solutions. Optimize data pipelines for performance, scalability, and reusability, ensuring efficient data processing. Collaborate with analysts, and business teams to understand data needs and design appropriate data architecture Key Experience: ETL tools - Familiarity with data integration tools and frameworks (e.g. Azure Data factory, Talend). Python Strong programming skills in Python or another relevant language (e.g., Java, Scala). SQL - Proficiency in SQL for querying and database management, capable of re-writing SQL to reduce execution time. Insurance knowledge - Understands the fundamentals of acquiring and administering commercial. insurance and claims processes/services. Knowledge of business key performance indicators (KPIs) with a preference in KPIs for the risk, insurance, and claims industry.