Satellite-based emissions monitoring for industrial and energy sectors
GHGSat operates a geospatial data platform built on Python, PostGIS, and Apache Airflow to ingest and process satellite and aircraft emissions data. The tech stack and active projects reveal heavy lifting around pipeline reliability and data-source integration—they're wrestling with legacy pipeline performance and reorganizing existing workflows while scaling cross-customer monitoring. Hiring is concentrated in data and ops roles, signaling investment in infrastructure maturity rather than feature breadth.
GHGSat delivers satellite-based emissions tracing and monitoring for oil and gas, energy, and coal operations. Founded in 2011 and based in Montreal, the company serves industrial organizations globally that need to measure and act on direct emissions data. The platform combines remote-sensing data collection with geospatial analysis (GIS, QGIS, PostGIS) and real-time dashboards (Grafana) to deliver actionable emissions intelligence. Current operational focus centers on customer onboarding, cross-customer analytics, and strengthening data-pipeline automation and testing.
GHGSat uses Python, PostGIS, PostgreSQL, QGIS, GIS, GeoPandas, Rasterio, dbt, Apache Airflow, Docker, AWS, and Grafana—a geospatial and data-pipeline architecture designed for satellite imagery processing and emissions analytics.
GHGSat is actively hiring in data, ops, and product roles at manager, mid, and lead levels, all based in Canada. Recent hiring velocity is accelerating.
Current projects include vertical product roadmap refinement, customer onboarding optimization, cross-customer monitoring and analytics, geospatial data and AI/ML pipeline development, and automation of testing and deployment for data and ML models.
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