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 Digital Data & AI Engineer

Location: Paris, France

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

About Sanofi:

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Who You Are:
You are a dynamic Data & AI Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.

You will play a key role across our AI Workflow data products, supporting strategic initiatives such as reimagination Commercial field force experience.

These products aim to:

• Offer a cutting-edge conversational experience to field
• Enable seamless deployment of GenAI and agentic systems through robust, scalable data pipelines and system integrations architectures.
• Enable carrying research and reporting tasks on they behalf
• Increase Sanofi professional capacity to match expectation of our customers

About the Job:

• Propose and establish technical designs to meet business and technical requirements
• Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies
• Create data pipelines / ETL pipelines and optimize performance
• Test and validate developed solution to ensure it meets requirements
• Create design and development documentation based on standards for knowledge transfer, training, and maintenance
• Work with business and products teams to understand requirements, and translate them into technical needs
• Adhere to and promote to best practices and standards for code management, automated testing, and deployments
• Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases
• Develop automated tests for CI/CD pipelines
• Gather/organize large & complex data assets, and perform relevant analysis
• Conduct peer reviews for quality, consistency, and rigor for production level solution
• Actively contribute to Data & AI Engineering community and define leading practices and frameworks
• Communicate results and findings in a clear, structured manner to stakeholders
• Remains up to date on the company’s standards, industry practices and emerging technologies

Key Functional Requirements & Qualifications:

• Experience working cross-functional teams to solve complex data architecture and engineering problems
• Demonstrated ability to learn new data and software engineering technologies in short amount of time
• Good understanding of agile/scrum development processes and concepts
• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities
• Strong technical analysis and problem-solving skills related to data and technology solutions
• Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders
• Pragmatic and capable of solving complex issues, with technical intuition and attention to detail
• Service-oriented, flexible, and approachable team player
• Fluent in English (Other languages a plus)

Key Technical Requirements & Qualifications:

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
• 2 to 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as AWS, Snowflake, Airflow/dbt
• Understanding of data structures and algorithms
• Working knowledge of scripting languages (Python, SQL, Shell scripting)
• Experience in cloud-based data platforms (Snowflake is a plus)
• Experience with job scheduling and orchestration (Airflow is a plus)
• Good knowledge of SQL and relational databases technologies/concepts
• Experience working with data models and query tuning

Nice to haves:

• Experience working in life sciences/pharmaceutical industry is a plus
• Familiarity with data ingestion through batch, near real-time, and streaming environments
• Familiarity with data warehouse concepts and architectures (data mesh a plus)
• Familiarity with Source Code Management Tools (GitHub a plus)

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

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 :€48,000.00 - €64,000

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.