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