Accelerator - Data & AI Engineering - Paris
Core
Design and implement end-to-end data pipelines, data models, and ML workflows to support drug discovery and trial efficiency in biopharma.
Role type
Senior Data & AI Engineer
Builds
Scalable cloud data pipelines, data warehouse solutions, and AI-ready data for downstream applications
Domain
Biopharma / Life Sciences / Data Engineering
Deliverable
production ML models | data pipelines | infrastructure
Required skills
SQL, data warehousing (Snowflake), ETL/ELT, Python, cloud platforms (AWS), orchestration (Airflow), CI/CD, Git, Terraform, Docker, Kubernetes, Datadog, Grafana
Preferred skills
Healthcare industry experience, AWS/Snowflake/IICS certifications, dbt, GitHub Actions, Openshift
Technologies
Snowflake, AWS, Airflow, dbt, IICS, Terraform, Docker, Kubernetes, Openshift, Datadog, Grafana, GitHub Actions
Responsibilities
Design and implement end-to-end data pipelines; Develop and optimize data models; Collaborate with cross-functional teams to translate business requirements; Ensure data quality, standardization, observability, and governance; Automate data ingestion and monitoring; Build and maintain ETL processes and ML workflows; Contribute to MLOps/AIOps practices; Provide technical guidance to team members; Coordinate project timelines and deliverables
Seniority
Senior, hands-on IC
