StellenbeschreibungpWe are seeking a Data Modeler for the Finance domain to join our Tech, Data AI team. The successful candidate combines strong data modeling expertise with a solid understanding of Finance processes in a reinsurance context. You bring the ability to translate complex financial requirements into structured, scalable, and business-aligned data models. /ppThis position goes beyond pure technical modeling: it requires ownership of how Finance data is represented across systems, ensuring consistency, traceability, and alignment with enterprise standards to support reporting, closing, planning, and decision-making. /pbr/pbKey duties and responsibilities /b /ppUnder the responsibility of the Finance Lead Data Engineer, your mission will be to: /plipDesign, build, and maintain conceptual, logical, and physical data models for Finance within the Data Foundation (Databricks Palantir Foundry), supporting financial processes such as closing, planning, and performance analysis. /p /lilipDevelop and evolve analytical data models that enable scalable reporting, self-service analytics, and AI-driven use cases. /p /lilipContribute to the enterprise Finance data model, ensuring consistent business definitions and alignment across domains and systems /p /lilipCollaborate with Data Engineers, Architects, and Finance stakeholders to ensure models reflect business semantics and integrate into the overall data architecture. /p /lilipEnsure data consistency, reconciliation capability, and proper handling of granularity, time dimensions, and historical tracking in financial datasets. /p /lilipSupport metadata management, business glossaries, and data lineage in collaboration with data stewards to provide transparent and governed Finance data. /p /lilipApply and promote data modeling standards and best practices to improve quality, reusability, and maintainability of Finance data assets. /p /lilipTranslate complex Finance requirements into robust and scalable data structures that support both operational and analytical needs. /p /libr/pbRequired experience competencies /b /pliStrong experience in data modeling, including conceptual, logical, and physical models. /liliProven experience in financial services, with a solid understanding of Finance data and processes. /liliExperience building analytical data models for reporting and analytics. /liliProficiency in SQL and/or PySpark, with understanding of modern data platform architectures. /liliExperience with Databricks and/or Palantir Foundry. /liliUnderstanding of data governance, metadata management, and data quality principles. /liliStrong analytical thinking, attention to detail, and ability to structure complex topics. /liliAbility to collaborate effectively with both technical and business stakeholders. /liliExcellent communication skills and ability to operate in an international, matrix environment. /lipbRequired Education /b /pliMSc or PhD in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience /li
