Data & AI Engineer - Hybrid in Paris (AI at Scale)

Sanofi; Paris; Hybrid; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Quality health insurance

Remote work up to 2 days/week

31 days of paid leave + RTT

Public transport coverage up to 80%

Professional development opportunities

Internal and international mobility

Job summary

Sanofi in Paris is seeking a Data & AI Engineer to drive end-to-end data pipelines, analytics models, and AI workflows within the Digital Commercial Accelerator team. You will shape data products, collaborate with international teams, and ensure governance and quality across platforms.

The role emphasizes cloud-based data engineering, CI/CD practices, and automating data ingestion to support AI-enabled commercial initiatives. Fluency in English is mandatory.

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.

Responsibilities

• Design and implement end-to-end data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
• Develop and optimize data models with a focus on query performance and efficient workloads.
• Collaborate with cross-functional teams to translate business requirements into technical solutions, defining clear interface contracts between data products and applications.
• Enforce data quality, standardization, observability, and governance across systems, aligning with industry compliance standards and data privacy requirements.
• Automate data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health.
• Build and maintain ETL processes and machine learning workflows, providing clean AI-ready data for our applications.
• Actively contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, also participate in peer review of code and technical documentation.

Skills

SQL

Python

Airflow

dbt

Snowflake

GitHub Actions

Vector Databases

AWS

Terraform

Education

Master's degree in Computer Science, Engineering, or related field

Tools

Snowflake

IICS

dbt

Python

AWS

Airflow

GitHub Actions

Terraform

Job description

Sanofi in Paris is seeking a Data & AI Engineer to drive end-to-end data pipelines, analytics models, and AI workflows within the Digital Commercial Accelerator team. You will shape data products, collaborate with international teams, and ensure governance and quality across platforms.

The role emphasizes cloud-based data engineering, CI/CD practices, and automating data ingestion to support AI-enabled commercial initiatives. Fluency in English is mandatory.