Data Engineer
Toronto, Canada
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Sanofi
Sanofi pushes scientific boundaries to develop breakthrough medicines and vaccines. We chase the miracles of science to improve people’s lives.Reference No. R2810176
Position Title: Data Engineer
Department: Lead Data Engineer LMR
Location: Downtown Toronto, ON (Hybrid - 3 days a week onsite)
About the Job
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.
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 R&D Data & AI Products and Platforms Team as a Data Engineer and you can help make it happen.
Sanofi has recently 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, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.
As a Data Engineer, you will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as a part of a Data & AI Product Delivery Pod, lead by a Product Owner, in an agile environment to deliver Data & AI Products. As a part of this team, you will be responsible for the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will have the ability to work on multiple data products serving multiple areas of the business.
Our vision for digital, data analytics and AI
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:
Data Product Engineering:
Provide input into the engineering feasibility of developing specific R&D Data/AI Products
Provide input to Data/AI Product Owner and Scrum Master to support with planning, capacity, and resource estimates
Design, build, and maintain scalable and reusable ETL / ELT pipelines to ingest, transform, clean, and load data from sources into central platforms / repositories
Structure and provision data to support modeling and data discovery, including filtering, tagging, joining, parsing and normalizing data
Collaborate with Data/AI Product Owner and Scrum Master to share progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans
Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories
Optimize data workflows to drive high performance and reliability of implemented data products
Oversee and support junior engineer with Data/AI Product testing requirements and execution
Innovation & Team Collaboration:
Stay current on industry trends, emerging technologies, and best practices in data product engineering
Contribute to a team culture of innovation, collaboration, and continuous learning within the product team
About You
Key Functional Requirements & Qualifications:
Bachelor’s degree in software engineering or related field, or equivalent work experience
2-3 years of experience in data engineering, software engineering, or other related fields
Experience working in life science/pharmaceutical industry and understanding of R&D business preferred
Excellent communication and collaboration skills
Working knowledge and comfort working with Agile methodologies
Key Technical Requirements & Qualifications:
Experience in cloud-based data platforms and analytics engineering stack (AWS, Snowflake and DBT)
Experience with job scheduling and orchestration (Airflow is a plus)
Working knowledge of scripting languages (Python, Shell scripting)
Good knowledge of SQL and relational databases technologies/concepts
Understanding of data structures and algorithms
Experience working with data models and query tuning
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
This position is for a current vacant role that we are actively hiring for.
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.
#GD-SP
#LI-SP
#LI-Hybrid
#DBBCA
Pursue 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 ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
North America Applicants Only
The salary range for this position is:
$94,700.00 - $157,800.00All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.
La fourchette salariale pour ce poste est la suivante:
$94,700.00 - $157,800.00Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien.
Tags: Agile Airflow APIs AWS Data Analytics Data management Data pipelines dbt ELT Engineering ETL Machine Learning Pharma Pipelines Python R R&D RDBMS Scrum Shell scripting Snowflake SQL Testing Unstructured data
Perks/benefits: Career development Equity / stock options Health care Team events Wellness
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