Senior Data Engineer
SCOR
Senior Data Engineer
SCOR
Global reinsurer offering P&C and L&H.
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.
Required experience & competencies:
Technical Skills:
Behavioral & Management Skills:
Bachelor's degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience
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.
SCOR SE is a global reinsurer with two main segments: Property & Casualty (P&C) and Life & Health (L&H). It helps insurance companies and other businesses transfer part of their underwriting and financial risks through reinsurance, while also managing a diversified asset portfolio. In P&C, it covers property, casualty, and specialty lines such as natural catastrophes, agriculture, aviation, and marine risks; in L&H, it covers life, health, and long-term care risks. SCOR’s goal is to support clients in reducing risk across regions by offering a broad suite of risk-management solutions and maintaining a balanced, global portfolio.
Explore more opportunities at SCOR