Azure Databricks and PySpark expertise define this Senior Azure Data Engineer contract in Toronto, supporting scalable cloud data engineering solutions.
This Senior / Lead Azure Data Engineer role requires hands-on Microsoft Azure experience across Azure Data Factory, Azure Synapse Analytics, and Azure SQL. You will design enterprise-scale pipelines, process large workloads, and support reliable data solutions. Financial or banking data experience is valued.

Key Responsibilities

Design scalable ETL/ELT pipelines using Azure Data FactoryBuild processing solutions with Azure Databricks and PySparkDevelop ingestion frameworks for Azure Data Lake Storage Gen2Implement cloud warehouses using Synapse Analytics and Azure SQLOptimize Spark jobs, SQL queries, and cloud resourcesRequirements:
10+ years in Data Engineering or Data Warehousing5+ years with Azure Data Engineering technologiesStrong Azure Databricks, PySpark, Spark SQL, and PythonStrong SQL Server and Azure SQL Database experienceBachelor's degree in Computer Science, Engineering, or related fieldApply Azure, Databricks, PySpark, and SQL expertise to enterprise data pipelines in Toronto's contract engineering market.
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📌 Senior Azure Data Engineer Toronto (Winnipeg)
🏢 Enterprise Solutions
📍 Winnipeg