Senior Data Engineer

Toronto, ON
On-site
Posted Oct 20, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, build, automate, and optimize complex ETL/ELT processes and unified data platforms using Databricks, Delta Live Tables, Unity Catalog, or equivalent technologies. Develop data pipelines and support data migration and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

Job details

Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent. Development of unified data platforms using Databricks and Unity catalog or its equivalent. Relational databases (Oracle, MySQL, SQL Server), data modelling (relational & dimensional), advanced SQL, query optimization, data replication, administration. Advanced SQL skills (PL/SQL, TSQL). Big Data processing Frameworks (PySpark). Proficient in creating Azure Data Factory pipelines for copy activity and custom data pipelines in Databricks with CI CD (Azure DevOPS Git Integration) . Data migration and data integration across different platforms Oracle to Azure Data Lake, Oracle to Databricks, Oracle to Microsoft Fabric.

What you’ll do

Requirements

Requires advanced SQL skills, including PL/SQL and T-SQL, and experience with relational databases, data modeling, query optimization, and data replication. The role also calls for PySpark, Azure Data Factory pipeline development, and CI/CD experience using Azure DevOps Git integration.