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

At SCOR, we combine the Art and Science of Risk to help build more resilient societies.

Data is at the heart of our mission. Within our Tech, Data & AI organization, we are looking for a Property & Casualty (P&C) Lead Data Engineer who lives data engineering, leads with impact, and thinks ahead to the future of data and AI.

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

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

This role is for a senior data engineering leader who owns complex data domains end to end, understands P&C insurance business processes, and sets the bar for engineering excellence on modern data platforms such as Databricks and Palantir Foundry and alike.

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.

Experience

• At leat 7 years of experience as a data engineer, data oriented mindset
• At least 3 years of experience in coaching or managing a team of developers
• Proven experience in development and maintenance of data pipelines, preferably in agile projects
• Proven experience with Databricks and/or Palantir Foundry is a plus.
• Experience in (Re)insurance and / or Financial Services is a plus.

Technical Skills :

• Strong level in Python, Pyspark and SQL, ability to develop data pipelines under various platform using best practices such as parallelization, distributing programing techniques, decisional modeling, slowly changing dimensions, change data capture management…
• Good knowledge of CI / CD pipelines and Gitflows best practices
• Good knowledge of REST API development
• Knowledge of reporting tools is a plus

Behavioral Skills :

• Strong analytical thinking, rigorous mindset solution-oriented and force of proposal
• Team player and team leader, commitment, curiosity, interest to challenge
• Capacity to navigate in a matrix and international environment and manage priorities
• Communication, ability to speak to a wide community of stakeholders (business, data, IT)
• Mentoring and proactiveness

Education :

• Bachelor's degree in computer science or software