The Team The Global Risk and Treasury Technology team provides development and support services for Group Treasury (including Structural Interest Rate Risk management, Asset/Liability Management, Funds Transfer Pricing, Liquidity Risk, Stress Testing) and Global Risk Management (Global Retail/Corporate/Commercial Credit Risk, Counterparty Credit Risk, Operational/Non-Operational Risk Management). The Role The Senior Data Engineer is responsible for developing and implementing technical solutions to support the Group Treasury business with a focus on Data Engineering building reusable data assets for the group and the bank. The role includes participation in multiple projects, technical design, use cases, and process workflow of complex business processes for internal clients. The candidate must work with a team of technology focused peers and juggle multiple/concurrent tasks, thrive on challenge, be proactive, dynamic, and demonstrate initiative and eagerness to learn. Some of the key accountabilities include: Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory, SQL Server Integration Services (SSIS), and BigQuery. Build and maintain data workflows across Azure Synapse Analytics, Azure Data Lake, and GCP BigQuery, integrating structured and semi-structured financial data sources. Lead modernization of legacy financial data systems to cloud-native architectures on Azure and GCP. Develop scalable data models and transformation logic to support finance, treasury, and regulatory reporting. Implement data governance, lineage, and quality frameworks across multi-cloud environments. Collaborate with finance, treasury, and risk teams to understand data requirements and translate them into technical solutions. Ensure compliance with financial data standards, including auditability, traceability, and regulatory controls. Mentor junior engineers and promote best practices in data engineering, DevOps, and CI/CD. What You Will Bring to Succeed Bachelor's degree in a technical field such as Computer science, Information Systems, Computer engineering, Data Science or related field required. 5+ years of experience in data engineering, with hands‑on experience in Microsoft Azure and GCP data tools. Strong proficiency in SQL Server, T‑SQL, SSIS, and Azure Data Factory. Experience with BigQuery, Cloud Storage, and Dataflow or Apache Beam. Solid understanding of financial data domains such as general ledger, cash management, liquidity, regulatory reporting, and risk analytics. Experience working in or with financial institutions, banks, or treasury departments. Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub Actions, Cloud Build) and infrastructure‑as‑code (e.g., Terraform). Excellent problem solving and analytical skills and be capable of multi‑tasking and managing concurrent tasks and initiatives. Ability to solve technical problems/processes and understand complex details. A high level of interpersonal and verbal communication skills necessary to relate to other people at their systems knowledge level. Self‑motivated and curious to learn new technologies and business use cases. Preferred Qualifications Experience with Databricks, Delta Lake, MLflow, and Apache Airflow. Knowledge of Power BI, Looker, or other visualization tools. Certifications such as Azure Data Engineer Associate or Google Professional Data Engineer. Experience with financial compliance standards (e.g., SOX, Basel, IFRS). Experience working in Agile/Scrum environments. The Workplace We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success. You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world. We foster an environment of innovation and continuous learning. We care about our people, allowing them to design how they work to deliver amazing results. We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation. Location(s): Canada : Ontario : Toronto #J-18808-Ljbffr