Data Modeler – P&C
Fa Errt Saasfaprod1 Open · verified Oct 24, 2026 At a glance
Mid-level Data Architecture & Governance role at Fa Errt Saasfaprod1. Bucuresti - Ilfov, Romania.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain P&C data models at conceptual, logical and physical levels for underwriting, pricing and claims
- Create analytical models for reporting, self-service analysis and AI use cases
- Align P&C business definitions across systems and domains, working with engineers, architects and business stakeholders
- Check financial data for consistency and reconciliation, including granularity, time periods and historical records
- Support business glossaries, metadata and lineage, and apply modeling practices that improve data quality and reuse
What you bring
- Experience in data modeling or data engineering, with knowledge of conceptual, logical and physical models
- Experience creating analytical data models for reporting and analytics
- Proficiency in SQL or PySpark, plus an understanding of modern data platforms
- Knowledge of data governance, metadata management and data quality principles
Who this fits
This role suits someone who can connect data modeling with P&C business processes and work across technical and business teams. Insurance or financial-services experience, and familiarity with Databricks or Palantir Foundry, are advantages. You’ll work under the P&C Lead Data Engineer in an international, matrix setting.
From the employer
We are seeking a Data Modeler for the P&C domain to join our Tech, Data & AI team. The successful candidate combines data modeling skills with a good understanding of (re)insurance processes. You bring the ability to translate functional requirements into structured, scalable, and business-aligned data models.
This position goes beyond pure technical modeling: it requires ownership of how (re)insuance data is represented across systems, ensuring consistency, traceability, and alignment with enterprise standards to support reporting, closing, planning, and decision-making.
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
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.
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.
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