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 up-to-date 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.

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