Data Platform Engineer Analyst

Reference No. R2748648

Position Title: Data Platform Engineer Analyst

Location: Downtown area of Toronto, Ontario

About the Job

At 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 Global Data Platform as Data Platform Engineer and you can help make it happen. Your job? As an experienced data engineer you will play a crucial role in supporting the design, development, and optimization of data solutions. We are seeking an experienced data engineer to work with lead data engineers and global Sanofi data engineering teams to drive implementation of Data platform for Sanofi's advanced analytic, AI, and ML initiatives. As an experienced Data Engineer, you will play a critical role in helping design and implement globally scalable data engineering platform to make it easier for internal teams to start implementation of their user case and to enhance the lives of our global patients and customers.

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:

• Collaborate with experienced data engineers and business teams to assist in understanding data requirements, especially in areas like bioinformatics, omics, clinical data, and more.

• Learn and assist in the design, development, and optimization of data pipelines, architectures, and data sets. Support the efficient data ingestion, transformation, and reliable delivery of data.

• Familiarize yourself with data integration technologies, ETL / ELT processes, and modern data engineering tools. Gain hands-on experience with tools such as Informatica/IICS to create cutting-edge solutions.

• Assist in tasks related to the life-cycle management of deployed data assets and products, including monitoring and troubleshooting under the guidance of senior team members.

• Learn about and adhere to global data engineering standards, ensuring alignment with data architecture, platform, quality, and governance principles.

• Explore and develop foundational knowledge in data warehouse/lake solutions, data mesh architectures, and distributed processing technologies (e.g., Spark, Hadoop, Kafka).

• Gain familiarity with cloud technologies, with a focus on AWS, to support the development and maintenance of modern cloud-native data platforms.

• Build proficiency in SQL (preferably in Snowflake) and relational/non-relational databases. Use programming languages such as Python, Shell scripting, and Scala/Java.

About You

• Bachelor's/master’s degree in computer science, Engineering, Mathematics, or a related field.

• Proven experience in data engineering or a related field.

• A strong passion for data engineering and a desire to learn and grow in the field.

• Eagerness to work collaboratively in cross-functional teams and learn from experienced data professionals.

• Basic understanding of data concepts and an analytical mindset.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills and a willingness to learn how to convey technical concepts to diverse stakeholders.

• Ability to adapt to a fast-paced, dynamic work environment.

• Interest in data integration technologies, cloud platforms, and data engineering tools.

Why choose us?

• 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.​

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request.

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