Build machine learning infrastructure with Python and SQL as a hybrid Data Engineer for an established, data-driven technology company in Quebec.
This permanent, full-time Data Engineer role partners closely with data scientists. You will build reliable data foundations and infrastructure supporting analytics and machine learning across the business. The work includes hands-on engineering, cloud, large-scale processing, and MLOps.
Key Responsibilities: Build data infrastructure supporting analytics and machine learning
Partner closely with data scientists on data foundations
Develop with Python, SQL, cloud, and large-scale processing tools
Apply MLOps practices across machine learning infrastructure
Evaluate and introduce recent engineering tools
Requirements: Bachelor’s degree in technical or quantitative field
Strong Python with common data libraries
Advanced SQL and major cloud provider experience
Large-scale data processing tools experience
Working knowledge of MLOps, Git, and agile tooling
Shape data engineering and machine learning operations through Python, SQL, cloud infrastructure, and reliable data foundations.

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📌 Python Machine Learning Data Engineer (Quebec City)
🏢 Kelly Services
📍 Quebec City