Principal Data Engineer

Principal Data Engineer 

• Experience with creating and maintaining ELT/ETL pipelines on cloud infrastructure.
• Experience with programming languages like Python and SQL.
• Experience working with containers and orchestration tools like Docker and Kubernetes for deployments.
• Experience with CI/CD automation.
• Experience working in AWS (or Azure).
• Preferably experience working with ElasticSearch.
• Preferably experience working with vector databases, e.g. Milvus.

About the department

You will join 15 dedicated colleagues within the Client’s Scientific Intelligence department, which offers a centralized hub of external information as well as tools and technologies to extract data and insights to users across the Client’s worldwide headquarters and affiliates.

Our purpose is to provide modern digital solutions to the organization and to ensure that researchers have seamless access to quality information sources, state of the art technologies and professional information research services supporting their needs.

 Scientific Intelligence is a part of a new area, Digital Research & Intelligence (DRI), established to provide a modern scientific intelligence, drive external collaborations and access to emerging technologies in the digital space of drug discovery, facilitate idea maturation, and develop an educational framework to drive our digital journey.

Digital & Research Intelligence is part of Digital Science & Innovation (DSI), which was recently established to drive digitalization across R&ED. DSI participates in drug development projects across the value chain, from early discovery to pre-clinical development.

Skill/Experience/Education



Required Skills

• Experience with creating and maintaining ELT/ETL pipelines on cloud infrastructure.
• Experience with programming languages like Python and SQL.
• Experience working with containers and orchestration tools like Docker and Kubernetes for deployments.
• Experience with CI/CD automation.
• Experience working in AWS (or Azure)
• Preferably experience working with ElasticSearch
• Preferably experience working with vector databases, e.g. Milvus.