Ingénieur de données/Ingénieure de données
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
🚀 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.
#Hiring #DataEngineering #DataScience #MachineLearning #LifeSciences #Pharma #Manufacturing #PowerBI #Python #SQL #dbt #EFOR
More about this job
Responsibilities
Build reusable data engineering solutions and improve manufacturing data readiness across global sites. Develop machine learning and real-time process monitoring approaches, collaborate with Data Science and Digital teams, and communicate analytical insights to non-technical audiences.
Requirements
The role calls for strong SQL and dbt expertise, Python, Git, CI/CD, and experience with cloud data platforms. Relevant tools include SIMCA, Dataiku or JMP, manufacturing historians and databases, and Power BI or Streamlit; strong collaboration, stakeholder influence, problem-solving, and technical writing are also sought.
Skills
- SQL
- dbt
- Python
- Git
- CI/CD
- Cloud Data Platforms
- Data Engineering
- Machine Learning
- SIMCA
- Dataiku
- JMP
- AVEVA PI
- Aspen IP21
- MS SQL Server
- MySQL
- PostgreSQL
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Manufacturing
- Science & Research
- Engineering
Keywords
- Data Engineering
- Process Data Science
- Pharmaceutical Manufacturing
- Life Sciences
- Manufacturing Sciences
- SQL
- dbt
- Python
- Git
- CI/CD
- Cloud Data Platforms
- Serverless Computing
- Machine Learning
- Artificial Intelligence
- SIMCA
- Dataiku
- JMP
- AVEVA PI
- Aspen IP21
- MS SQL Server
- MySQL
- PostgreSQL
- Power BI
- Streamlit
- Data Pipelines
- Real-Time Process Monitoring
- Data Visualization
- Requirements Gathering
- Technical Writing
- Confluence