Data Engineer

JOB RESPONSIBILITIES:

Identify and extract data from multiple sources into a common format. Design, develop and maintain robust and scalable data pipeline. Implement data integration solutions to ingest and process large volumes of data from various sources including but not limited to climate data and various open-source data. Perform data validation, testing, monitoring, data exploration and feature engineering. Collaborate with Data Scientist, Data Analyst, and other team members to understand data needs and deliver solutions. Develop and maintain data models, databases, and data warehouses. Implement and maintain ETL processes. Work with cloud-based data storages and processing services (e.g, AWS, Azure etc) Support Aon reinsurance research team with their activities and develop novel products. Become familiar with Aon s internal workflow tools and integrate bespoke research workflows. Troubleshoot and resolve data-related issues.

SKILLS/COMPETENCIES REQUIRED:

Proven experience as a Data Engineer or in a similar role. Strong knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server). Proficiency in programming languages such as Python, PySpark, Java, or Scala. Experience with ETL tools and frameworks Understanding of data warehousing concepts and best practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Organised with an ability to manage multiple projects proficiently. Willingness to understand Aon s internal workflows and the research that the team undertakes.