Data & AI Engineer
Core
Designing and implementing end-to-end data pipelines, data models, and machine learning workflows to support drug discovery and trial efficiency in a biopharmaceutical R&D context.
Role type
Senior Data & AI Engineer (Cloud & ML)
Builds
Scalable data pipelines, data warehouse solutions, and AI-ready data products for R&D applications.
Domain
Biopharmaceutical R&D / Data Engineering & Generative AI
Deliverable
production ML models | data pipelines | infrastructure
Required skills
SQL, data warehousing (Snowflake), ETL/ELT tools (IICS), Python, cloud platforms (AWS), orchestration (Airflow), Generative AI/Vector Databases, CI/CD (GitHub Actions), Infrastructure as Code (Terraform)
Preferred skills
dbt, Vector Databases, GitHub Actions, Terraform
Technologies
Snowflake, IICS, dbt, Python, AWS, Airflow, GitHub Actions, Terraform, Vector Databases
Responsibilities
Design and implement end-to-end data pipelines ensuring scalability and reliability; Develop and optimize data models with a focus on query performance; Enforce data quality, standardization, observability, and governance; Automate data ingestion processes and monitoring systems; Build and maintain ETL processes and machine learning workflows; Contribute to transversal data engineering best practices including design patterns and CI/CD integrations.
Seniority
Senior, hands-on IC