Senior P&C Data Engineer

At SCOR, we combine the Art and Science of risk to help build more resilient societies. Technology is a vital resource and partner in every step of our journey. We are seeking innovators to join our dynamic tech team of over 200 professionals across three global hubs. Guided by our corporate values-Collaboration, Courage, Care, Open-Mindedness, and Integrity-our teams develop technology that insures the world. Join us and make a difference!

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.

We are seeking a Data Engineer Team Lead to join our dynamic Tech team. The ideal candidate is an inspirational team lead, problem-solving oriented with strong analytical thinking. You will be leading a data engineering team to support the development of data pipelines amongst our IT and Data products and act as a local coordinator to ensure that our central best practices are applied.

Under the responsibility of a Lead Data Engineer, your mission will be to:

• Build, deliver, test, maintain data artefacts such as data pipelines & services (API) to serve data distribution while following standard best practices.
• Document data artefacts (code, diagrams, wiki-like documentation) to secure the comprehensiveness of your work.
• Collaborate within and outside your squad by partipipating to workshops or rituals (dailys, sprint reviews, design sessions)
• Support the delivery of trust-worthy data pipelines that serve both transactional and analytical needs, by implementing adequate tests and controls.
• Review and coach data engineers, support them by helping them to grow.

• +6 years of experience as a data engineer, data oriented mindset
• Proven experience in development and maintenance of data pipelines, preferably in agile projects (Scrum and/or Kanban)
• Proven experience with Databricks and/or Palantir Foundry is a strong plus
• Experience in (Re)insurance industry 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 good 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
• Knowledge of REST API development
• Knowledge of reporting tools (e.g. Power BI) is a plus

Behavioral & Management Skills:

• Strong analytical thinking, rigorous mindset solution-oriented and force of proposal
• Team player, commitment, curiosity, interest to challenge
• Capacity to navigate in an international environment

• Communication, ability to speak to a wide community of stakeholders (business, data, IT)