Minimize time between clinical cut off date (CCOD) / LPLV to marketing authorization of pivotal studies through accelerated filing and HA interactions.

Streamline other submission types that are not part of a major filing (e.g, US INDs, CTAs, International filings as prioritised by pharma strategy).

Data Engineer 0,5 FTE

Your responsibilities

• Build scalable end-to-end data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements.
• Manage the technical scope and architecture of the project before, during, and after delivery.
• Deliver cutting-edge data products on the cloud for internal customers.
• Work with business and functional stakeholders to understand data requirements and downstream analytics needs.
• Ratify technology solutions, produce concise Design documents, contribute to work estimates and refactor the code based on requirements.
• Translate business requirements & E2E designs into technical implementations based on system capabilities.
• Define, and promote re-usable, extendible, scalable, and maintainable solutions considering trade-offs for cost vs benefit.
• Foster a data-driven culture throughout the team and lead data engineering projects.
• Perform technical walk-throughs to ensure effective communication of system architecture.
• Adhere to and evangelize an entire CI/CD pipeline.

Our requirements

• Relevant experience in databases (columnar, NoSQL, Postgres, and/or Snowflake).
• Strong Data Analysis skills and ability to slice and dice the data as needed for stakeholders' reporting.
• API development and use of JSON/XML as data formats.
• Work with data scientists for better understanding business requirements.