SCOR Global Life

Overview In this role you drive data engineering for the Finance domain within the Tech, Data AI team. You own end-to-end Finance data pipelines, ensuring robust, scalable, and governance-compliant datasets for financial reporting and IFRS 17 processes. You lead by example, mentoring engineers and shaping SCOR's data engineering practices, including AI-ready platforms. You collaborate with finance, actuarial, risk, and data stakeholders to deliver impactful analytics and regulatory-aligned solutions.

Verantwortungsbereiche Lead data engineering activities within the Finance domain and plan work aligned with priorities and regulatory timelines Own end-to-end Finance data pipelines from ingestion to consumption with reliability, scalability, auditability, and cost efficiency Provide hands-on technical leadership by reviewing pipelines and enforcing engineering best practices Design and optimize large-scale data processing solutions for Finance use cases (reconciliation, granularity, performance, traceability) Maintain architectural ownership of Finance data pipelines and datasets with clear documentation (code, lineage, data definitions, release notes) Ensure data quality, consistency, and governance across Finance datasets with internal controls and regulatory expectations Coach and mentor data engineers to develop skills, autonomy, and engineering excellence Collaborate with Finance,

actuarial, risk, data and AI stakeholders through workshops and agile ceremonies Contribute to evolving data engineering practices, especially AI-ready data platforms and finance analytics Zentrale Anforderungen 7+ years as Data Engineer with data-centric mindset 3+ years in a technical leadership role Proven track record delivering production-grade data pipelines in agile environments Experience with Palantir Foundry and/or Databricks Finance domain experience in (Re)insurance or financial services is a strong plus Strong hands-on Python, PySpark, and SQL Solid understanding of data processing (CDC, SCD) and data modeling Experience with CI/CD pipelines, Git workflows, and production best practices Good knowledge of REST APIs Software engineering mindset with data focus Excellent communication and stakeholder engagement skills Proven ability to lead and mentor teams in a matrix,

international environment Strong communication with senior stakeholders Curiosity and willingness to learn the insurance/reinsurance business Analytical thinking and structured problem solving Python PySpark SQL