Data Engineer - VIE Contract
Toronto, Canada VIE Posted on Dec. 12, 2025 Closing on Apr. 12, 2026Data Engineer - VIE Contract
- Location: Canada, Toronto
- Target start date: 01/05/2026
iMove, the Sanofi VIE Program, is available to citizens of the European Economic Area (EU + Norway, Liechtenstein and Iceland) aged between 18 and 28.
PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.
PLEASE NOTE that applications that are only submitted in French cannot be considered by our non-French speaking partners at Sanofi worldwide. Therefore, only applications that are submitted in English will be considered. Please make sure to apply with your personal email address.
About the job
As Data Engineer VIE within our Digital Data & Technology team, you will develop and maintain standardized data pipeline to ensure the contextualized data is available real-time for the end users.
The Data Science & Digital Transformation (DSD) platform supports several vaccine manufacturing processes within MSAT (Manufacturing Science, Analytics & Technology)—the group responsible for process understanding, optimization, lifecycle management, and ensuring robust and compliant production. DSD provides data management, analytics, process monitoring, and web application solutions to enable proactive, data-driven decisions across the site.
Join a global network that powers how Sanofi delivers — seamlessly, purposefully, and at scale. In Manufacturing & Supply, you’ll help reimagine how life-changing treatments reach people everywhere, faster.
Ready to get started?
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:
- Perform Extract, Transform, and Load (ETL) activities including data cleansing, transformation, integration, and preparation for data warehouse and analytics initiatives.
- Design and maintain relational database schemas; write optimized Structured query language (SQL) queries.
- Build, deploy, and maintain web-based dashboards and monitoring tools (Power BI, Streamlit, Flask).
- Develop Graphical User Interfaces (GUIs), scripts, and analytics workflows; integrate code with internal cloud platforms (Snowflake, AWS).
- Collaborate with process subject matter experts (SMEs), global experts, and cross-functional teams to deliver scalable, science-driven solutions.
About you
Experience:
- Familiarity with data science libraries (Pandas, NumPy, Scikit-Learn); exposure to R, JMP, or MATLAB is an asset.
- Experience with cloud analytics platforms (Snowflake, AWS, GCP).
- Experience with web frameworks (Streamlit, Flask, Django) and JavaScript is beneficial.
- Strong programming experience in Python (required).
Soft and Technical skills:
- Solid understanding of relational databases, SQL, and data modeling.
- Familiarity with bioprocess unit operations to interpret data trends in the context of underlying manufacturing processes.
- Knowledge of data governance and best practices in analytics deployment.
- Strong customer focus with the ability to deliver complex projects.
- Effective communication and influence across diverse stakeholders.
- Thrives in a collaborative, fast-moving, and dynamic environment.
- Open-minded and willing to challenge the status quo.
Education:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a bioprocess-related field. A combination of software and bioprocess experience is ideal.
Languages:
- Fluent English (written and verbal).
Why choose us?
- Be part of a pioneering biopharma company where patient insights shape drug development.
- Work at the forefront of AI-powered science that accelerates discovery and improves outcomes.
- Collaborate beyond your expertise, sparking new ideas with diverse, multidisciplinary teams.
- Develop new skills, explore cross-functional roles, and work in an environment that values growth and discovery.
- Every year, we distribute over 4 billion units of medicines and vaccines, ensuring people worldwide receive the treatments they trust.
- Grow, thrive, and make an impact in a workplace that empowers you to bring your best self every day, with pride.
- Work with AI, robotics, and next-gen automation to redefine global manufacturing and supply.
iMove is a unique program tailored for European youth interested in challenging themselves with meaningful assignments across the globe. At Sanofi we have a strong ambition to invest in young talents who will drive the success of Sanofi tomorrow.
Sanofi’s Work Abroad Program, iMove, offers jobs-assignments with actual responsibilities and a perspective to grow. We provide those opportunities in various functionssuch as: marketing, finance, regulatory, supply chain, clinical trials, production, etc. and in more than 40 countries. Sanofi unites people who are passionate about solving healthcare needs across the world. Joining our iMove Work Abroad Program is a unique opportunity to make a difference through your work.
#LI-EUR
Pursue Progress. Discover Extraordinary.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
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