Data & AI Engineer

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. 

Job title: Data & AI Engineer

• Location: Paris

• Work arrangements: Hybrid (Monday, Tuesday, Wednesday onsite)

About the job

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines. 

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology. 

We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence. 

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.

About you

Experience:

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... 

Why choose us?

Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.

Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.

Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.

Drive meaningful change in a streamlined, AI-powered organization that values smart, modern ways of working.

Collaborate with curious minds across borders, functions, and cultures in a fast-paced, purpose-driven environment.

Stay at the forefront of tech, with access to training programs and industry certifications, as well as excellent opportunities for Progression.

Work in a safe, responsible environment guided by RAISE — our strategy for balancing digital innovation with the right level of risk management for every AI system.

#LI-FRA #LI-Hybrid