Data Engineer

Position Overview This is an opportunity to join a high?visibility enterprise transformation program at a leading financial institution, focused on modernizing Identity & Access Management (IAM) at scale. You will play a critical leadership role in delivering the rollout of Microsoft Entra ID and Multi-Factor Authentication (MFA) across a complex, global organization. Key Responsibilities Support operational excellence through monitoring, incident management and continuous process improvement Own user requests and data inquiries while actively experimenting, learning and driving continuous improvement in day-to-day operations . Proactively identify gaps and implement scalable improvements, including new analytical patterns and automation to optimize workflows Support analysts and data scientists with reliable, timely and accessible data, while using AI/agent-based solutions to automate and optimize time-consuming processes Partner with business teams to understand data needs and deliver actionable insights to management and stakeholders Build and maintain scalable data models and ETL/ELT pipelines Maintain data quality through automated testing, monitoring and proactive issue resolution Apply data governance, security and documentation standards across pipelines and architecture Required Qualifications 5-7 years of experience in SQL (advanced to expert level) 3-4 years of experience with workflow orchestration tools such as Apache Airflow 3-4 years of experience working with Python for pipeline development. 3-4 years of experience with cloud platforms (GCP, AWS, or Azure). Experience with modern data stack tools (including dbt) Preferred Qualifications Solid understanding of data warehousing concepts and dimensional modeling Knowledge of the banking/finance domain and data governance practices is an asset Soft Skills Strong analytical and decision-making abilities. Excellent communication and interpersonal skills A high-performing, detail-oriented and proactive mindset with strong ownership in handling user requests and troubleshooting issues and driving continuous improvement initiatives Education and Certification Bachelor’s or Graduate degree in Computer Science, Engineering, or related field (or equivalent experience)