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.
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 contributes to the evolution of data engineering practices, particularly in the context of AI-ready data platforms
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
Experience in (Re)insurance, financial Services, or other complex data-intensive industries is a strong plus
Technical Skills :
Good knowledge of REST API
Behavioral & Management Skills :
Education :
Bachelor's degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience
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.
SCOR, one of the world's largest reinsurers, provides its clients with a diversified and innovative range of solutions to control and manage risk. Using its experience and expertise, “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – in Life & Health as well as in P&C.
The reinsurance industry is about combining technical expertise and experience with the developments of science. However many tools we use to conduct our activities (models, databases, pricing tools, reserving tools, and so on), we also need expert judgments and human experience to correctly underwrite. This is what we call the art of underwriting. Reinsurance is a knowledge industry. Expertise is an accumulation variable.
The most advanced tool will never replace the intuition of a seasoned underwriter facing a complex risk. Because at the end of the day, you have to make a decision, to sign, to underwrite. And what we have underwritten, we cannot overwrite - our word is our bond, as is our signature. This dimension of our business, linked to the art of underwriting, is more important than some observers would have people believe.
One way to acquire this art is to share experiences – both good and bad – and to share doubts and questions. Artists always belong to a school, from which they learn their craft.
Like artists, we have to learn, imitate, mimic, and then innovate, in order to find our own style and create our own distinctive work.
