Agricultural Technology Data Engineer

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 requirementsBuild ingestion pipelines from partner and third-party APIsCreate tools supporting analytics and Data Science teamsDesign reliable, monitorable, fault-tolerant data processesMake governed datasets ready for LLM agents and modelsRequirements:
Three to five years of relevant professional experienceProduction experience operating data pipelines at scaleExperience with relational databases including PostgresExperience with Prefect, Dagster, or similar toolsExcellent communication and troubleshooting skillsBring data modeling, API ingestion, and pipeline expertise to Semios Group’s next generation of digital agriculture.
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