Transform agricultural sensor data into analysis-ready datasets at Semios, combining production pipelines with cloud infrastructure. Hybrid working arrangements are available. This Data Engineer role supports Semios Group brands, including Semios, Agworld, Altrac, and Greenbook. You will integrate diverse sources, maintain scalable data systems, and help build foundations for agriculture-focused products and insights. The work includes ingestion, workflow automation, modeling, monitoring, and API documentation. Key Responsibilities:





Maintain pipelines processing measurements into trusted datasets Integrate third-party and partner APIs Automate processes and operate scalable cloud infrastructure Optimize pipeline performance and cost through refactoring Document data structures and Data APIs across products Requirements:

Experience operating reliable production pipelines at scale Experience with relational databases, including Postgres Hands-on GCP and AWS provisioning and development experience Workflow tool experience with Prefect, Dagster, or similar Production experience with dbt or similar transformation tools Bring pipeline engineering, cloud development, API integration, and data modeling expertise to Semios’s agricultural technology products.

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📌 Agricultural Data Pipeline Engineer (Winnipeg)
🏢 The Semios Group
📍 Winnipeg