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.
ResponsibilitiesUnder 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.
Required experience & competencies
- +3 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
- Good 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 is a strong plus
- Knowledge of REST API development is a plus
- Knowledge of reporting tools (e.g. Power BI) is a plus
- 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
Technical Skills:
- Good 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 is a strong plus
- Knowledge of REST API development is a plus
- 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)
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 3 years of experience as a data engineer
- Experience developing and maintaining data pipelines
- Good proficiency in Python
- Good proficiency in PySpark
- Good proficiency in SQL
- Ability to develop data pipelines using parallelization and distributed programming techniques
- Strong analytical thinking and a rigorous, solution-oriented mindset
- Teamwork, commitment, curiosity, and willingness to challenge existing approaches
- Ability to work in an international environment
- Strong communication skills with business, data, and IT stakeholders
- Experience with Agile projects using Scrum or Kanban
- Experience with Databricks or Palantir Foundry
- Experience in the reinsurance, insurance, or financial services industry
- Knowledge of CI/CD pipelines and Gitflow practices
- Knowledge of REST API development
- Knowledge of reporting tools such as Power BI
- Knowledge of dimensional modeling, slowly changing dimensions, and change data capture
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.
