Data & AI Engineering

Sanofi; Paris; Hybrid; EUR 39,000 - 58,000; Full time

Benefits offered by this job

Quality health insurance

Remote work up to 2 days/week

Mobility opportunities

Job summary

Sanofi recherche un Data & AI Engineer basé à Paris, en mode hybride (présence lundi-mercredi sur site). Vous contribuerez à transformer des données en insights avec des pipelines robustes et des modèles de données optimisés.

Vous travaillerez au sein de l’équipe Digital Commercial Accelerator, en collaboration avec des filiales internationales pour accélérer l’innovation et l’efficacité commerciale grâce à l’IA et au cloud. Expérience en SQL, Snowflake, ETL/ELT et Python souhaitée.

Qualifications

• Expérience dans la conception et l’implémentation de pipelines de données dans des environnements cloud.
• Modélisation de données et orchestration ETL/ELT en production.
• Capacité à transformer les besoins métier en solutions techniques.

Responsibilities

• Concevoir et déployer des pipelines de données end-to-end, assurer évolutivité et fiabilité sur le cloud.
• Modéliser les données pour des performances de requête optimisées.
• Collaborer avec les équipes transverses pour transformer les exigences métier en solutions techniques.
• Mettre en place des contrôles qualité des données et suivre les standards de gouvernance.
• Mettre en place l’ingestion automatisée et le monitorage des KPI opérationnels.

Skills

SQL

Cross-functional collaboration

Problem solving

Self-motivated

Education

Bachelor's degree in Computer Science

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.

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:

• Help design and implement end-to-end data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
• Develop data models with a focus on query performance and efficient workloads.
• Work with cross-functional teams to translate business requirements into technical solutions.
• Implement data quality checks and follow governance standards.
• Use automated 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.
• Follow and apply data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation.

About you

Experience:

Experience in implementing data pipelines and data warehouse solutions in cloud environments.

Experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.

Working with cross-functional teams to translate business requirements into technical solutions.

Technical Skills:

Good 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.

Familiarity with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred).

Knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).

Capacity to implement 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: Bachelor's degree (Engineering or Master's preferred) in 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.

#LIFRA

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

The salary range for this position is :€38,560.00 - €57,840.00

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.