Elevate your career at Riverside Natural Foods as an Enterprise Data & Generative AI Engineer. This role focuses on building a robust data foundation for analytics and machine learning in a collaborative, values-driven workplace.

Riverside Natural

Foods is on a transformative journey, integrating advanced data capabilities to fuel its B-Corp certified growth. As an Engineer, you will design scalable data pipelines across platforms like Databricks and SAP, ensuring a unified data architecture that supports analytics and Generative AI applications. This role requires a proactive individual skilled in data integration and cloud technologies. Key Responsibilities:

- Design and implement scalable data ingestion pipelines
- Support Riverside’s BI and AI Strategy execution




- Optimize data pipelines for reliability and performance
- Model SAP data structures and integrate external data
- Collaborate across teams to translate business needs Requirements:
- Bachelor’s in Computer Science or related field
- 5+ years in Data Engineering or Analytics roles
- Experience with SAP and cloud lakehouse platforms
- Proficient in SQL and Python for data engineering
- Knowledge of streaming technologies and LLMs Contribute your expertise in data engineering to empower Riverside Natural Foods’ analytics and AI initiatives.

📌 Enterprise Data Engineer at Riverside Natural Foods (Toronto)
🏢 Socket.dev
📍 Toronto