Advance digital agriculture with Semios Group by engineering reliable data pipelines, warehouse systems, and analysis-ready datasets for growers worldwide.
As a Data Engineer, you will help power products across Semios, Agworld, Altrac, and Greenbook. You will work with Engineering and Data Science teams to integrate data sources, model complex datasets, and maintain cloud-based systems. The work includes supporting crop technology, analytics, and AI-ready foundations.
Key Responsibilities: Model complex datasets for business and product requirements
Build ingestion pipelines from partner and third-party APIs
Create tools supporting analytics and Data Science teams
Design reliable, monitorable, fault-tolerant data processes
Make governed datasets ready for LLM agents and models
Requirements: Three to five years of relevant skilled experience
Production experience operating data pipelines at scale
Experience with relational databases including Postgres
Experience with Prefect, Dagster, or similar tools
Excellent communication and troubleshooting skills
Bring data modeling, API ingestion, and pipeline expertise to Semios Group’s next generation of digital agriculture.

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📌 Agricultural Technology Data Engineer (British Columbia)
🏢 Semios
📍 British Columbia