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 (British Columbia)
🏢 The Semios Group
📍 British Columbia