Agilus by Synergie is recruiting for a Senior Data Engineer in the financial services in a hybrid work environment in Toronto, Ontario. Our client, a leading financial services organization, is seeking an experienced Senior Data Engineer to support the implementation and integration of a new Treasury Management System. Responsibilities: Design, develop, and maintain scalable ETL and ELT pipelines Support data migration, transformation, validation, and reconciliation activities Integrate the Treasury Management System with internal and external data sources Build cloud-based data solutions using Azure Data Factory, Azure Databricks, ADLS, and Azure Synapse Develop data processing solutions using Python, PySpark, and SQL Implement data-quality controls, profiling, monitoring, and exception-handling processes Troubleshoot production issues and support ongoing platform stability Collaborate with business, technology, architecture, and vendor stakeholders Requirements: 8+ years of professional data engineering experience Strong hands-on experience with Azure Data Factory and Azure Databricks Advanced Python, PySpark, and SQL skills Experience working with ADLS, Azure Synapse, and Snowflake Proven experience building enterprise-scale ETL and ELT pipelines Strong background in data migration, integration, profiling, validation, and reconciliation Experience developing data-quality frameworks and operational controls Financial services, banking, pension, investment management, or capital markets experience Total rewards: $90.00 - $100.00 hourly An ideal candidate has: Experience supporting a Treasury Management System implementation Knowledge of treasury operations, cash management, liquidity, payments, or investment operations Experience working with SWIFT or other financial messaging and payment platforms Familiarity with financial reporting, transaction data, and enterprise data platforms Previous experience working on complex vendor-led transformation programs This posting is for an active opening.