Paris Data & AI Engineer — Cloud Pipelines & Gen AI

Aimlroles; Paris; Hybrid; EUR 54,000 - 82,000; Full time

Benefits offered by this job

Health insurance

Remote work up to 2 days/week

Public transport coverage

Professional development

Job summary

Sanofi is seeking a Data & AI Engineer in Paris to work within the Digital Commercial Accelerator. You will design end-to-end data pipelines, build AI-ready data, and collaborate with cross-functional teams to translate business needs into scalable technical solutions.

Based in Paris, you’ll contribute to cutting-edge AI initiatives, maintain data quality and governance, and participate in CI/CD and containerized deployments in cloud environments.

Qualifications

• Strong track record designing and implementing data pipelines and data warehouses in cloud environments.
• Hands-on data modeling, ETL/ELT, and production orchestration.
• Experience translating business needs into technical solutions.

Responsibilities

• Design and implement end-to-end data pipelines transforming raw data into insights.
• Develop data models with a focus on query performance and scalable workloads.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Enforce data quality, standardization, observability, and governance across systems.
• Automate data ingestion and monitoring to track KPIs and maintain pipeline health.
• Build ETL processes and ML workflows delivering clean AI-ready data.
• Contribute to data engineering best practices, CI/CD, containerization, and code reviews.

Skills

SQL

Snowflake

Python

Airflow

CI/CD

Generative AI

Terraform

Education

Master's degree in Computer Science or related field

Tools

IICS

dbt

GitHub Actions

Git

Airflow

Terraform

Job description

Sanofi is seeking a Data & AI Engineer in Paris to work within the Digital Commercial Accelerator. You will design end-to-end data pipelines, build AI-ready data, and collaborate with cross-functional teams to translate business needs into scalable technical solutions.

Based in Paris, you’ll contribute to cutting-edge AI initiatives, maintain data quality and governance, and participate in CI/CD and containerized deployments in cloud environments.