Property and Casualty Lead Data Engineer - Paris or Zurich or Bucharest

Property and Casualty Lead Data Engineer - Paris or Zurich or Bucharest

We are seeking a Lead Data Engineer for the Property & Casualty (P&C) domain to join our Tech, Data & AI team. The successful candidate is a hands‑on technical leader with deep data engineering expertise, strong communication skills, and a solid understanding of P&C insurance data and processes.

You will be responsible for leading data engineering activities for the P&C domain, ensuring the robustness, scalability, and quality of data pipelines and analytical datasets. Beyond delivery, you will help shape how data engineering evolves at SCOR, including its role in enabling AI‑driven use cases.

This position is not a generic software engineering role: it requires strong ownership of data flows, data models, and analytics ready datasets that directly support underwriting, reserving, pricing, and performance steering.

Responsibilities

Under the responsibility of the Head of Data Platform , your mission will be to:

• Lead data engineering activities within the P&C domain, supervising, coordinating, and planning your team’s work in line with business priorities.
• Own end‑to‑end P&C data pipelines , from ingestion to consumption, ensuring reliability, scalability, and cost‑efficient performance.
• Provide hands‑on technical leadership by reviewing data pipelines and data services, enforcing state‑of‑the‑art engineering practices.
• Design and optimize large‑scale data processing solutions , addressing challenges such as parallelization, distributed processing, query performance, and cost optimization.
• Maintain architectural ownership of domain data pipelines and datasets , enforcing clear documentation (code, lineage, diagrams, release notes).
• Coach and mentor data engineers , supporting skill development, autonomy, and a culture of engineering excellence.
• Collaborate closely with business, actuarial, data and AI stakeholders through workshops, design sessions, and agile ceremonies.
• Actively contribute to the evolution of data engineering practices , particularly in the context of AI‑ready data platforms.

Qualifications

Required experience & competencies:

At least 7 years of experience as a Data Engineer with a strong data‑centric mindset

+3 years of experience in a technical leadership role

• Proven experience with Palantir Foundry and/or Databricks is required.
• Proven track record delivering and operating production‑grade data pipelines in an agile environment.

Experience in (Re)insurance, financial Services, or other complex data‑intensive industries is a strong plus.

Technical Skills:

• Strong hands‑on expertise in Python, PySpark and SQL.
• Proven experience with Databricks and/or Palantir Foundry (strongly preferred).
• Solid understanding of distributing data processing, CDC, slowly changing dimensions, and data modelling.
• Strong exposure to CI / CD pipelines, Gitflows, and production best practices.

Good knowledge of REST API.

Behavioral & Management Skills:

• Software engineering first minded with solid experience in data.
• Curiosity and interest in learning the insurance/reinsurance business.
• Strong analytical thinking, structured problem solving, and ownership attitude.
• Excellent communication skills, with the ability to engage senior business and technical stakeholders.
• Proven ability to lead, mentor and inspire teams in a matrix, international environment.

Education:

Bachelor's degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.