Spade Technologies, Inc. Full time 150k-210k CAD About SpadeSpade is building the data infrastructure that powers the future of food. herd, feed, financial, processor, and environmental data across the dairy ecosystem—turning fragmented information into secure, actionable intelligence for farmers, lenders, processors, give every stakeholder in food and agriculture the clarity and To accelerate our delivery timeline, we’re hiring a Data Engineer who thrives in ambiguity, moves quickly, and can build robust, secure data systems from the ground up. Role OverviewAs a Data Engineer at Spade, you will own the pipelines, data models, and infrastructure that You’ll design and build reliable ingestion systems for herd, feed, and financial data; ensure data is accurate, performant, secure, and available for internal and external use. You’ll work closely with backend engineering, product, design, and solutions teams to support both our farmer-facing product and our enterprise customers. tremendous influence over Spade’s architecture and long-term data strategy. Design, build, and maintain scalable data ingestion pipelines (batch + streaming) for heterogeneous farm and financial data sources. Develop unified data models for herd, feed, financial, and operational datasets. Manage the complexity of a modern data lake ( Iceberg, Databricks etc ) Prepare data to be ready for ML workloads, and other AI systems Data Quality & Observability Establish monitoring and alerting for pipeline failures, anomalies and data quality. Implement automated data validation, deduplication, and reconciliation.



Ensure enterprise-grade audit trails and data governance practices. Partner with backend engineering to design APIs that expose clean, reliable data. Work with PMs and designers to support new product features requiring data access. Support Solutions Engineering in onboarding new enterprise customers and integrating their data sources to our system. Influence architecture decisions and improve systems for performance, scale, and maintainability. Help define Spade’s long-term data platform vision and best practices. 4+ years of Data Engineering experience in production environments Expertise with contemporary data pipeline tools and technologies (DataBricks, Airflow, DBT, Dagster, Spark, Beam, or similar) Experience designing and managing data warehouses or lakehouses Hands-on experience with cloud infrastructure (AWS/GCP/Azure) Experience with structured and semi-structured data (CSV, JSON, Parquet, Avro) Knowledge of data modeling, schema design, and ETL/ELT best practices Experience building pipelines that support multiple tenants or customer datasets Strong understanding of security, compliance, and data governance Ability to thrive in a fast-paced startup environment with shifting priorities Background working with financial, agricultural (dairy), IoT, or operational datasets Experience contributing to architecture decisions in early-stage startups The opportunity to build foundational systems that transform how food and agriculture operate Ownership, autonomy, and the ability to shape the technical direction of the company Competitive compensation and meaningful equity #

📌 Data Engineer (Canada)
🏢 Sarsfield Group
📍 Canada