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
Lead Data Engineer – Finance in Zürich Arbeitgeber: SCOR Global Life
SCOR ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und sich ständig weiterentwickelnden Umfeld zu arbeiten. Mit einem starken Fokus auf Zusammenarbeit und Innovation fördert SCOR eine inklusive Unternehmenskultur, die Vielfalt schätzt und individuelle Talente unterstützt. Mitarbeiter haben Zugang zu umfangreichen Weiterbildungs- und Entwicklungsmöglichkeiten, während sie mit einigen der besten Köpfe der Branche zusammenarbeiten, um bedeutende Lösungen für gesellschaftliche Herausforderungen zu finden.
