🚀 We're hiring: Data Engineer / Process Data Science (Pharma Manufacturing) In Toronto
EFOR is looking for a data-driven professional to join a global life sciences manufacturing sciences team working at the crossroads of R&D and industrial operations.
The mission: Accelerate new product launches, optimize operational efficiency, and ensure business continuity by delivering scalable, user-centered data management, ML and AI solutions across global manufacturing sites.
What you'll do:
🔹 Build modular, reusable data engineering solutions deployable with minimal effort
🔹 Improve manufacturing data system readiness across global sites
🔹 Leverage manufacturing data to develop ML models and real-time process monitoring approaches
🔹 Partner with Data Science and Digital teams on both new and legacy facilities
🔹 Translate analytics into insights for non-scientific audiences and champion data-driven decision-making
What we're looking for:
✅ Strong SQL and dbt expertise
✅ Python, Git and CI/CD practices for data pipelines
✅ Cloud data platforms (storage, serverless computing)
✅ Experience with SIMCA, Dataiku and/or JMP
✅ Historians and databases: AVEVA PI or Aspen IP21, MS SQL Server, MySQL, PostgreSQL
✅ Data visualization: Power BI, Streamlit
✅ Confluence for documentation and knowledge management
And the soft skills that make the difference: collaboration in a fast-paced environment, stakeholder influence, requirements gathering, problem-solving, creativity, storytelling and strong technical writing.
If you want your data skills to have a real impact on how medicines and vaccines are manufactured, we'd love to hear from you.
📩 Send us your resume or message us directly to learn more.
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