Data Engineers

Description

• The Data Engineer is responsible for designing, building, and maintaining data pipelines and systems that support actuarial modelling, pricing, reserving, and risk analytics.
• The role bridges Actuarial Science and Data Engineering by ensuring actuarial models receive accurate, structured, and high-quality data.
• Additionally, support reporting through dashboarding.

Core Responsibilities

Data management and processing

• Collect, clean, and validate data
• Design and maintain ETL pipelines for actuarial datasets
• Support data models for health data (policies, claims, exposures)
• Integrate multiple data sources into actuarial data marts
• Engaging with client IT/data teams

Actuarial Data Support

• Prepare data for actuarial modelling and reporting
• Automated validation
• Consistency of data between source and analytical platform
• Documentation

Dashboard development

• Design and maintain interactive dashboards using Tableau, Power BI, etc.
• Reporting: Generate reports and dashboards to communicate findings.

• Proficiency in programming – Python, SQL, R, etc.
• Proficiency in business intelligence tools - Tableau, Power BI etc
• Working knowledge and understanding of data platforms SQL Server, Postgres, Databricks or other cloud solutions (AWS, Azure)
• Hands-on experience with ETL tools and data integration processes
• Health insurance data, insurance, reserving, pricing models
• Strong analytical and communication skills, collaboration with actuarial and clinical team members.

• Degree in Computer Science, Software Engineering, Actuarial Science
• Data Science, Statistics, or related field (analytical field with good conceptual awareness of financial or health insurance data analysis is required where not an actuarial degree).
• 3-5 Years of Experience