Data & AI Engineer

Biopharma Asia; Paris; Híbrido; EUR 54.000 - 82.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Remote work up to 2 days/week

Paid leave & wellness benefits

Descripción de la vacante

Sanofi is seeking a Data & AI Engineer to build end-to-end data pipelines and ML workflows in a hybrid Paris setting. You will design scalable data models, automate data ingestion, and ensure governance across systems while collaborating with international teams.

You will work with Snowflake, dbt, Airflow, and AWS, applying rigorous data quality and CI/CD practices, contributing to a data-driven digital R&D culture.

Formación

• Experience designing data pipelines and data warehouses in cloud environments.
• Hands-on ETL/ELT, data modeling and production orchestration.
• Cross-functional collaboration and translating business needs into tech solutions.

Responsabilidades

• Design end-to-end data pipelines transforming raw data into insights.
• Develop and optimize data models for performance and cost.
• Collaborate with teams to define interfaces between data products and apps.
• Ensure data quality, governance, and privacy compliance.
• Automate ingestion and monitor KPIs for pipeline health.
• Maintain ETL/ML workflows and reproducibility of experiments.
• Contribute to MLOps/AIOps and CI/CD practices.
• Provide technical guidance and code reviews.

Conocimientos

SQL

Python

Data pipelines

Data modeling

Cloud data warehousing

Educación

Master's Degree in Computer Science or related field

Herramientas

Snowflake

dbt

Airflow

Python

AWS

GitHub Actions

Docker

Kubernetes

Descripción del empleo

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 senior data & AI engineer within our Digital R&D team, you will help revolutionize how Sanofi discovers and delivers life‑saving medicines through AI and digital innovation. Ready to get started?

Based in Paris, France, you will be part of a dynamic team driving Sanofi's digital transformation in R&D. We are building outstanding Digital R&D products that participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence. 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

Ensure 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 downstream applications

Contribute to MLOps/AIOps practices including model deployment pipelines, model performance monitoring, and reproducibility of ML experiments in production environments

Actively contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation standards

Provide technical guidance to team members, ensuring adherence to coding standards and best practices

Coordinate project timelines and deliverables with cross-functional teams to ensure alignment with business goals

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

Background working in cross-functional teams, translating business needs into technical solutions

Experience working within compliance (e.g.: quality, regulatory, data privacy, GxP) and cybersecurity requirements

Experience in the healthcare industry is a strong plus

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)

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

Good knowledge of logging and monitoring tools such as Datadog, Grafana

Familiarity with containerization (Docker) and container orchestration (Kubernetes/Openshift a plus)

Possessing relevant cloud certifications (AWS, Snowflake, IICS) is a plus

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, with the ability to articulate insights and influence decision‑making

AI-assisted engineering as a default: AI tooling is a default expectation, not an experiment. Use it across coding, code review, documentation, and operations. We track adoption.

Here for the patients: quiet ego, loud standards. Don't fight to be right, fight to deliver for the patients who count on us. Be ruthless on quality, never rude about it.

Education: Master's Degree or equivalent in Computer Science, Engineering, or relevant field

Languages: English, French

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?

We provide a highly collaborative environment, with an opportunity to work with a world class team.

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.

Bring the miracles of science to life alongside a supportive, future-focused team.

Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.

Enjoy a thoughtful, well‑crafted rewards package that recognizes your contribution and amplifies your impact.

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.

Play an instrumental part in creating best practice within our manufacturing facility.

#LIFRA #LI-Hybrid

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 :€54,400.00 - €81,600.00 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.