Build scalable cloud data systems at Semios, using advanced SQL and Python to create trusted datasets. This role offers hybrid working arrangements.

As a Data Engineer, you will support Semios Group’s digital agriculture products. You will work with Engineering and Data Science teams on cloud systems, production pipelines, data modeling, and AI-ready foundations. Your work will transform raw measurements into reliable, analysis-ready datasets for analytics and machine learning.

Key Responsibilities:

- Architect cloud systems connecting Semios data with consumers
- Build scalable infrastructure for processing, storage, and automation
- Create reliable, monitorable, fault-tolerant data systems
- Model complex datasets for business and product requirements




- Prepare documented, governed datasets for AI and analytics

Requirements:

- Advanced SQL skills minimizing processing, scanning, and latency
- Experience with BigQuery, Redshift, Snowflake, or equivalent warehouses
- Production data pipeline experience at scale
- Cloud development experience, particularly GCP and AWS
- Fluency in Python, Node, or another imperative language

Help Semios create dependable cloud data foundations through advanced SQL, Python, production pipelines, and AI-ready modeling.

📌 Cloud Data Engineer AI Foundations (Vancouver)
🏢 The Semios Group
📍 Vancouver