Process Data Engineer

at  Capgemini

We are seeking a Process Data Engineer to join our Global MSAT (Manufacturing Sciences, Analytics, and Technology) team in Toronto. This role involves partnering with various internal teams to apply data engineering, machine learning, and AI to optimize manufacturing processes for a new flu vaccine facility. The ideal candidate will have a strong background in process engineering, data science, and a proven ability to develop and implement data-driven solutions in a manufacturing context.

Key Responsibilities:

• Collaborate with internal stakeholders to identify and leverage data engineering, machine learning, and AI solutions to enhance manufacturing processes.
• Develop and implement machine learning models and real-time process monitoring systems using manufacturing data.
• Work closely with the MSAT Data Science and Digital teams to deploy reusable and efficient data engineering solutions for both new and legacy facilities.
• Translate complex data analytics outcomes to non-scientific audiences and promote data-driven decision-making across the organization.
• Ensure the delivery of data engineering, visualization, ML, and AI capabilities while maintaining a strong focus on data integrity, validation, and governance.

Required Qualifications:

• BSc or MSc in Process Engineering, Computer Science, or a related technical field.
• 3-5 years of relevant industry experience.
• Strong coding skills in Python, R, and SQL.
• Experience with data historian systems such as PI Asset Framework (AF) and PI Event Frames.
• Proficiency in data analytics with a familiarity with Python libraries like Pandas, NumPy, and Scikit-Learn.
• Experience with cloud platforms like Snowflake, AWS, Azure, and GitHub.
• Proficiency in developing data visualization platforms (Power BI, R Shiny, Streamlit).
• Experience with SAP data and using transactional and genealogy data in data contextualization.

Preferred Skills:

• Experience in a manufacturing or pharmaceutical environment.
• Strong ability to write reports and manage knowledge documentation.
• Proven capability to develop business requirements and communicate effectively with stakeholders at multiple management levels.
• Ability to work collaboratively in a dynamic, fast-paced environment.
• Creativity and conceptual ability to innovate and drive data solutions.

The pay range that the employer in good faith reasonably expects to pay for this position is $34.67/hour - $54.18/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

• Collaborate with internal stakeholders to identify and leverage data engineering, machine learning, and AI solutions to enhance manufacturing processes.
• Develop and implement machine learning models and real-time process monitoring systems using manufacturing data.
• Work closely with the MSAT Data Science and Digital teams to deploy reusable and efficient data engineering solutions for both new and legacy facilities.
• Translate complex data analytics outcomes to non-scientific audiences and promote data-driven decision-making across the organization.
• Ensure the delivery of data engineering, visualization, ML, and AI capabilities while maintaining a strong focus on data integrity, validation, and governance