Reference No. R2715320

Position Title: Data Platform Engineer

Department: Global Data Platform

Location: Downtown area of Toronto, Ontario

At Sanofi, we chase the miracles of science to improve people’s lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people.

As one of Canada’s leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our life-changing and lifesaving products are grounded in science that Canadians can trust. They empower self-care, prevent and treat diseases, and help people live better.

Our vision for digital, data analytics and AI

Sanofi has embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.

The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our insights and products based on how they perform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.

If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi. Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization.

• 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 build products that will be deployed globally on a leading-edge tech stack.

• World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

Who You Are:

You are experienced data engineer with 1-3 years of experience who is interested in designing and developing comprehensive solutions to support and facilitate business operations. As an experienced data engineer you will play a crucial role in supporting the design, development, and optimization of data solutions. You are eager to learn and work closely with subject matter experts and senior team members, has a foundational understanding of data engineering principles, and is excited to contribute to our data-driven initiatives.

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. Your expertise will be instrumental in shaping the future of data-driven healthcare while providing technical leadership and mentorship to the data engineering team.

In your role, you will be reporting to Senior Data Platform Manager, working closely with leadership to build data platform with inputs and feedback received from various teams across data foundations and business to address their

immediate and long term needs. .

Key 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. Contribute to the development of robust and scalable data engineering solutions.

• 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.

• Work closely with cross-functional agile teams to contribute to the design and implementation of hybrid-cloud solutions with automated data pipelines.

• 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.

• Actively participate in the data engineering community, learn from experienced professionals, and share your insights and experiences as you grow.

• Engage actively with the data engineering community, sharing insights, best practices, and innovative ideas to contribute to the growth of the industry.

Key Requirements:

• 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.

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.

Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.com!

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.

Thank you in advance for your interest.

Only those candidates selected for interviews will be contacted.

Follow Sanofi on Twitter: @SanofiCanada and on LinkedIn: https://www.linkedin.com/company/sanofi

#DBBCA #DDB

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.