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 the Senior Data Platform Engineer you will be a reliable team-player, problem-solving oriented with strong analytical thinking. You will contribute to the development, maintenance and continuous improvement of SCOR's enterprise data platforms, including Databricks, Palantir Foundry and associated cloud services.
Working closely with Data Engineers, Architects and Platform Leads, you will help provide a secure, scalable and easy-to-use platform experience by implementing automation, operational controls, monitoring capabilities, services as well as reusable components that accelerate data delivery across the Group.
Responsibilities
Key duties and responsibilities :
Under the responsibility of a Data Platform Lead, your mission will be to:
Build, maintain and support data platform capabilities that enable data engineers and analytics teams to deliver solutions efficiently.
Develop automation assets including deployment pipelines, SDLC accelerators, monitoring tools and operational frameworks.
Contribute to platform administration activities, including access management, environment configuration and operational support.
Build observability services and use them to monitor the data platform, helping identify issues and participate in remediation activities.
Document platform artefacts such as technical standards, pipelines, services, runbooks.
Collaborate with platform architects and engineering teams to ensure alignment with enterprise standards and best practices.
Support platform adoption by contributing to reusable templates, accelerators and self-service capabilities.
Participate in technology watch activities to evaluate and leverage relevant platform innovations.
Required experience & competencies :
- +5 years of experience in data engineering or platform engineering, data oriented mindset
- Experience working in Agile environments (Scrum or Kanban)
- Experience in working with data platforms, preferably in cloud environments
- Proven experience working with complex data ingestion pipelines is a strong plus
- Proven experience with Databricks and/or Palantir Foundry is a strong plus
- Strong level in Python, Pyspark and SQL
- Good knowledge of CI / CD pipelines
- Good knowledge in REST API development
- Good understanding of access management, security principles and platform governance
- Good understanding of observability, monitoring and alerting solutions
- Strong analytical thinking, autonomy, rigorous mindset solution-oriented and force of proposal
- Team player, commitment, curiosity, interest to challenge
- Strong collaboration skills and ability to prioritize tasks.
Technical Skills :
- Strong level in Python, Pyspark and SQL
- Good knowledge of CI / CD pipelines
- Good knowledge in REST API development
- Good understanding of access management, security principles and platform governance
- Good understanding of observability, monitoring and alerting solutions
Behavioral & Management Skills :
- Strong analytical thinking, autonomy, rigorous mindset solution-oriented and force of proposal
- Team player, commitment, curiosity, interest to challenge
- Strong collaboration skills and ability to prioritize tasks.
- Capacity to navigate in an international environment
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.
Skills Required
- At least 5 years of experience in data engineering or platform engineering
- Experience working in Agile environments, including Scrum or Kanban
- Experience working with data platforms, preferably in cloud environments
- Strong proficiency in Python, PySpark, and SQL
- Knowledge of CI/CD pipelines
- Knowledge of REST API development
- Understanding of access management, security principles, and platform governance
- Understanding of observability, monitoring, and alerting solutions
- Bachelor’s degree in computer science, software engineering, computer engineering, applied mathematics, physics, statistics, a related field, or equivalent experience
- Experience with complex data ingestion pipelines
- Experience with Databricks and/or Palantir Foundry
What We Do
SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.
