Reference No. R2749545

Position Title: Data & ML Engineering Lead

Department: Data Engineering

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 Digital Team as Data & ML Engineering lead and you can help make it happen. Your job? As a dynamic Data & ML Engineering Lead, you are an influential leader with hands-on experience deploying scalable data and ML pipelines, applying state-of-the-art data engineering and machine learning practices with technically robust lifecycle management. You excel at coaching and managing Data and ML Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success.

• Propose and establish technical designs to meet business and technical requirements.
  
• Develop and maintain data engineering and ML solutions based on requirements and design specifications using appropriate tools and technologies.
  
• Create and optimize data pipelines / ETL pipelines for performance.
  
• Coach and manage junior Data and ML Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success.
  
• Work with business and product teams to understand requirements and translate them into technical needs.
  
• 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 and organize large and complex data assets, and perform relevant analysis.
  
• Conduct peer reviews for quality, consistency, and rigor for production-level solutions.
  

• Bachelor's Degree or equivalent in Computer Science, Engineering, or a relevant field.
  
• Experience with Machine Learning and Generative AI technologies, with a focus on integrating data pipelines to support AI-driven solutions.
  
• 8+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or a comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/dbt.
  
• Strong understanding of data structures and algorithms.
  
• Working knowledge of scripting languages (Python, Shell scripting).
  
• Experience with cloud-based data platforms (Snowflake is a plus).
  
• Experience with job scheduling and orchestration tools (Airflow is a plus).
  
• Experience working with cross-functional teams to solve complex data architecture and engineering problems
  
• Proficient in SQL and relational database technologies/concepts.
  
• Experience working with data models and query tuning.
  

• Experience working in the life sciences/pharmaceutical industry is a plus.
  
• Familiarity with data ingestion through batch, near real-time, and streaming environments.
  
• Familiarity with data warehouse concepts and architectures (data mesh is a plus).
  
• Familiarity with Source Code Management Tools (GitHub is a plus).
  

• 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 andwellness programs and at least 14 weeks' gender-neutral parental leave.