Publié avant-hier
Ingénieur de données/Ingénieure de données
@ EFOR
Toronto, Ontario
En bref
EFOR is hiring a data engineer for a global life sciences manufacturing sciences team in Toronto, linking R&D and industrial operations. The role builds modular data engineering, ML and real-time process monitoring solutions across manufacturing sites.
Responsabilités :
- Build modular, reusable data engineering solutions
- Improve manufacturing data system readiness across global sites
- Develop ML models and real-time process monitoring approaches
- Partner with Data Science and Digital teams
- Translate analytics into insights for non-scientific audiences
Résumé des exigences :
- Strong SQL and dbt expertise
- Python, Git and CI/CD for data pipelines
- Cloud data platform experience
- Experience with SIMCA, Dataiku and/or JMP
- Historian and database experience (AVEVA PI, Aspen IP21, SQL Server, MySQL, PostgreSQL)
- Power BI, Streamlit and Confluence
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-11
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Données et analytique |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
EFOR
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
🚀 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
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.