Cloud Data Engineer for AI/ML Pipelines

Sanofi; Paris; Hybride; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Quality health insurance

Remote work up to 2 days/week

Public transport coverage up to 80%

Mobility opportunities

Learning & development opportunities

Résumé du poste

Sanofi in Paris is seeking a Data & AI Engineer to design end-to-end data pipelines, optimize data models, and deploy ML workflows in cloud environments.

You will collaborate with cross-functional teams to translate business needs into scalable data solutions and participate in governance, quality, and CI/CD practices.

The role offers hybrid work with onsite Monday-Wednesday, a competitive salary, health benefits, and global digital R&D opportunities.

Qualifications

• Strong track record in designing and implementing data pipelines and data warehouse solutions in cloud environments.
• Hands-on experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.
• Experience working in cross-functional teams, translating business needs into technical solutions.

Responsabilités

• Design and implement end-to-end data pipelines that transform raw data into insights in cloud environments.
• Develop and optimize data models with a focus on query performance.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Enforce data quality, standardization, observability, and governance across systems.
• Automate data ingestion processes and monitor KPIs to ensure pipeline health.
• Build and maintain ETL/ML workflows supplying clean AI-ready data.
• Contribute to best practices, CI/CD, containerized deployments, and code/document review.

Connaissances

SQL

Python

ETL/ELT

Data modeling

Formation

Master's degree in Computer Science or related field

Outils

Snowflake

IICS

dbt

AWS

Airflow

GitHub Actions

Terraform

Description du poste

Sanofi in Paris is seeking a Data & AI Engineer to design end-to-end data pipelines, optimize data models, and deploy ML workflows in cloud environments.

You will collaborate with cross-functional teams to translate business needs into scalable data solutions and participate in governance, quality, and CI/CD practices.

The role offers hybrid work with onsite Monday-Wednesday, a competitive salary, health benefits, and global digital R&D opportunities.