Build scalable data pipelines and lakehouse systems at Spade Technologies, Inc., with Manitoba preferred and all locations considered. Work full time. As a Data Engineer reporting to the CTO, you will own ingestion pipelines, data models, and infrastructure. You will support herd, feed, financial, and operational datasets for farmer-facing and enterprise products. Your work will focus on reliable, secure, performant data systems. Key Responsibilities:

Design scalable batch and streaming ingestion pipelines Implement ETL/ELT workflows and validation layers Develop unified models for herd and financial datasets Manage contemporary data lake complexity, including Iceberg and Databricks Prepare data for ML and AI systems Requirements:

Four or more years of production data engineering experience Expertise with Databricks, Airflow, dbt, Spark, or similar Experience managing warehouses or lakehouses Hands-on AWS, GCP, or Azure infrastructure experience Knowledge of structured and semi-structured data formats Apply data modeling, cloud infrastructure, and pipeline expertise to strengthen Spade’s food data platform.

📌 Data Engineer Pipelines and Lakehouses (Winnipeg)
🏢 Sarsfield Group
📍 Winnipeg