Data and AI Engineer

Sanofi; Lyon; Sur place; EUR 85 000 - 110 000; Plein temps

Avantages offerts par ce poste

Health insurance

Remote work up to 2 days/week

Professional development

Résumé du poste

Sanofi in Lyon is seeking a Data & AI Engineer to join the Manufacturing & Supply Chain Data team. You will own data pipelines, build AI-ready data, and partner with international affiliates to deliver scalable cloud solutions.

Based in Lyon with hybrid work (onsite Mon-Wed), you will work with Snowflake, AWS, dbt, Airflow, and CI/CD practices while upholding Sanofi's Responsible AI and data governance standards.

Qualifications

• Experience owning delivery of data pipeline workstreams and data warehouse solutions in cloud environments.
• Hands-on experience improving data models, ETL/ELT processes, and pipeline orchestration in production settings.
• Experience partnering with cross-functional teams to shape technical solutions and delivery plans.
• English is mandatory

Responsabilités

• Own delivery of data pipeline workstreams transforming raw data into insights in the cloud.
• Improve data models, ETL/ELT processes, and pipeline orchestration.
• Partner with cross-functional teams to turn business needs into technical plans.
• Implement data quality checks and governance with remediation paths.
• Operate automated data ingestion, observability, and monitoring to track KPIs.
• Build and improve ETL and ML workflows for AI-ready data.
• Share data engineering practices via CI/CD, containerization, and docs.

Connaissances

SQL (Snowflake)

ETL/ELT pipelines

Python data processing

AWS

Airflow

DevOps / DataOps

CI/CD (GitHub Actions)

Terraform / IaC

Cross-functional collaboration

Data modeling

Formation

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

Outils

Snowflake

IICS or equivalent

dbt

Python

Git

Airflow

Terraform

Description du poste

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.

Job Title: Data & AI Engineer

• Location: Lyon, France

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

About the job

As a Data & AI Engineer within our Data team of Sanofi's Manufacturing & Supply Chain department, you will contribute to revolutionizing how Sanofi delivers life-saving medicines through data, AI and digital innovation. Your solid experience will be valuable in implementing and optimizing our data solutions. Ready to apply your skills to meaningful challenges?

Based in Lyon, France, you will be part of a dynamic team driving Sanofi's digital transformation in manufacturing. Our Manufacturing & Supply Chain Data team is implementing cutting-edge technologies that make Sanofi's factories smarter, safer, 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:

• Own delivery of defined data pipeline workstreams that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.

• Develop, tune, and refactor data models with a focus on query performance, workload efficiency, and maintainability.

• Partner with cross-functional teams to turn business requirements into technical solutions and delivery plans.

• Implement data quality checks, apply governance standards, and drive clear remediation paths for quality issues.

• Operate automated data ingestion, observability, and monitoring systems to track operational KPIs, troubleshoot issues, and improve pipeline health.

• Build, maintain, and improve ETL processes and machine learning workflows, providing clean AI ready data for applications and downstream products.

• Apply and share data engineering practices through design patterns, CI/CD integrations, containerized deployments, code reviews, and technical documentation.

About you

Experience:

• Experience owning delivery of data pipeline workstreams and data warehouse solutions in cloud environments.

• Hands-on experience improving data models, ETL/ELT processes, and pipeline orchestration in production settings.

• Experience partnering with cross-functional teams to shape technical solutions and delivery plans.

Technical Skills:

• Confident SQL skills on modern data warehousing platforms (Snowflake preferred), including performance-aware design.

• Hands-on experience building and improving ETL/ELT pipelines (IICS or equivalent), data transformation models (dbt preferred), and Python data processing components.

• Experience operating cloud data services (AWS preferred) and orchestration frameworks (Airflow preferred) for production workflows.

• Practical DevOps and DataOps experience, including CI/CD (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).

• Ability to choose and apply engineering patterns and technical standards for defined workstreams.

Soft Skills:

• Owns delivery of defined data engineering workstreams with sound judgment, accountability, and attention to operational quality.

• Partners confidently with cross-functional stakeholders to shape practical technical solutions.

• Shares knowledge with peers and helps improve team practices through reviews and documentation.

• Comfortable using approved AI-enabled tools to improve engineering productivity, documentation, code quality, and operational effectiveness, while following Sanofi's Responsible AI and data governance standards.

• Patient-focused and quality-driven, with a collaborative mindset, high standards, and a constructive approach to feedback, problem-solving, and continuous improvement.

Education:

Bachelor'sorMaster'sdegreeinEngineering,Computer Science 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 asa collective variable compensationbased 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.