Join Loblaw as a Staff Data Engineer and impact Canadian retail through advanced data solutions. With a focus on high-scale systems, you will enhance our Retail Media Platform.
This role combines technical leadership and system architecture to design, build, and optimize data pipelines that support analytics and AI capabilities. Collaborating with product, backend, and AI teams, you will guide the evolution of critical data infrastructure. Your leadership will be key in setting high standards for code quality and mentoring engineers.
Key Responsibilities:
• Lead system-level design for high-performance data platforms
• Drive enhancements on metadata layers and APIs
• Architect data pipelines with PySpark and GCP services
• Contribute to backend services for analytics
• Enable AI-driven features through well-modeled data
Requirements:
• Senior or Staff-level Data Engineer experience
• Hands-on expertise with PySpark and data processing
• Robust SQL skills with large datasets
• Solid experience in Python, Scala, or Java
• Familiarity with orchestration tools like Airflow
Bring your data engineering expertise to Loblaw and help shape the future of AI in retail.
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📌 Staff Data Engineer - Retail Media (Toronto)
🏢 Loblaw Companies
📍 Toronto