P&C Data Modeler

Requirements

• Education MSc or PhD in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience.

Key duties and responsibilities

Under the responsibility of the P&C Lead Data Engineer, your mission will be to: Design, build, and maintain conceptual, logical, and physical data models for P&C within the Data Foundation (Databricks & Palantir Foundry), supporting reinsurance processes such as underwriting, pricing, claims; Develop and evolve analytical data models that enable scalable reporting, self-service analytics, and AI-driven use cases; Contribute to the enterprise P&C data model, ensuring consistent business definitions and alignment across domains and systems; Collaborate with Data Engineers, Architects, and P&C stakeholders to ensure models reflect business semantics and integrate into the overall data architecture; Ensure data consistency, reconciliation capability, and proper handling of granularity, time dimensions, and historical tracking in financial datasets; Support metadata management, business glossaries, and data lineage in collaboration with data stewards to provide transparent and governed P&C data; Apply and promote data modeling standards and best practices to improve quality, reusability, and maintainability of P&C data assets.

Required experience

& competencies 5+ years of experience in data modeling or data engineering, with a focus on understanding conceptual, logical, and physical models; Experience building analytical data models for reporting and analytics; Proficiency in SQL and/or PySpark, with understanding of modern data platform architectures; Experience in the insurance industry or in financial services is a strong plus; Experience with Databricks and/or Palantir Foundry is a plus.

Behavioral & Management Skills

Understanding of data governance, metadata management, and data quality principles; Strong analytical thinking, attention to detail, and ability to structure complex topics; Ability to collaborate effectively with both technical and business stakeholders; Excellent communication skills and ability to operate in an international, matrix environment.