Data & AI Engineer

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

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail.

This job offer is accessible to all, regardless of gender.

• Location: Paris, France

Job title: Data & AI Engineer

• Location: Paris, France
• Work Arrangements: Hybrid (Monday, Tuesday, Wednesday onsite)

About The Job

As a data & AI engineer within our Digital Commercial Accelerator team, you will support efforts to revolutionize how Sanofi delivers life‑saving medicines through data, AI and digital innovation. This role offers an excellent opportunity to develop and improve your expertise while contributing to impactful projects. Ready to grow your skills in a dynamic environment?

Based in Paris, France, you will be part of a dynamic team driving Sanofi's digital transformation in commercial. Our Digital Commercial Accelerator is implementing cutting‑edge technologies, making our business smarter and more efficient. Join the first biopharma company powered by AI at scale, where your expertise will directly impact how we deliver treatments to patients worldwide.

About Sanofi

We’re an R&D‑driven, AI‑powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main 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.

Experience

About you

• 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.

Technical Skills

• Strong proficiency in SQL and data warehousing platforms (Snowflake preferred).
• Hands‑on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing.
• Strong experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred).
• Strong experience with Generative AI technologies and best practices (e.g. Vector Databases).
• Good knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).
• Experience in designing and implementing engineering patterns and technical standards.

Soft Skills

• Collaborative mindset with strong problem‑solving abilities.
• Self‑motivated and able to take initiative in a fast‑paced environment.
• Effective communication skills to work with both technical and business stakeholders.

Education

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

Languages

English is mandatory

What We Offer You

A fixed salary over 12 months, supplemented by a short‑term incentive, as well as a collective variable compensation based on Sanofi Group results.

Because taking care of our employees is also our mission

• Benefits & Well‑being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here.
• Work‑Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week
• Transportation: Public transport coverage up to 80%
• Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO
• Professional Development: Internal and international mobility opportunities, learning & development opportunities
• And more: platforms dedicated to peer‑to‑peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...