Position Summary The Data Engineer is responsible for designing, building, and supporting scalable data solutions that enable analytics, reporting, regulatory, and operational business processes. Working as part of the Data Engineering team, the successful candidate will develop and maintain data pipelines, data integration solutions, data models, and cloud-based data platforms. The role will participate in the implementation of up-to-date data technologies including Microsoft Fabric, cloud data platforms, data warehousing, and AI-enabled data solutions. The candidate will work closely with business stakeholders, data analysts, architects, and technology teams to deliver reliable, secure, and high-quality data products. Key Responsibilities Design, develop, test, and maintain batch and real-time data pipelines. Build and support ETL/ELT solutions using modern cloud-based technologies. Develop and optimize data ingestion, transformation, and consumption layers. Support data integration across enterprise platforms and source systems.



Implement data quality, reconciliation, and validation controls. Assist with production support activities, root cause analysis, and issue resolution. Participate in migration and modernization initiatives involving Microsoft Fabric, cloud data platforms, and enterprise data warehouses. Develop reusable frameworks, automation utilities, and monitoring capabilities that improve operational efficiency. Collaborate with architects and senior engineers on data modelling, platform design, and solution implementation. Contribute to CI/CD implementation, automated testing, and DevOps practices. Work with governance and security teams to ensure compliance with enterprise data management standards. Participate in Agile ceremonies, technical design discussions, and estimation activities. Create technical documentation and support knowledge

📌 Intermediate Data Engineer (Toronto)
🏢 Bank of Montreal
📍 Toronto