Data Engineer – VIE Contract

Job title:

Data Engineer – VIE Contract

Company

Sanofi

Job description

Data Engineer – VIE Contract

• Location: Canada, Toronto
• Target start date: 01/09/2025

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 jobAt Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Data Engineering team as Data Engineer VIE and you can help make it happen. Your job? 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 will be a valued influencer and a leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs.Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

• AI Factory – Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
• Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack.
• World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?Main responsibilities:

• 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 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.

About youExperience:

• 1+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/Dbt.
• Working knowledge of scripting languages (Python, Shell scripting).
• Experience working with data models and query tuning.
• Experience in cloud-based data platforms (Snowflake) and with job scheduling and orchestration (Airflow) would be an asset.

Education:

• Master’s Degree or equivalent in Computer Science, Engineering, or relevant field.

Technical and soft skills:

• Understanding of data structures and algorithms.
• Good knowledge of SQL and relational databases technologies/concepts.
• Having a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.
• Advanced communication and collaboration skills.

Languages:

• English knowledge.

Why choose us?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 functions such 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-EURPursue progress, discover extraordinaryBetter 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 and check out our Diversity Equity and Inclusion actions at !

Expected salary

Location

Toronto, ON

Job date

Thu, 31 Jul 2025 22:31:40 GMT

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