Senior Azure Data Engineer Toronto
Summary
Senior Data Engineer at JLL, on-site in Toronto, designing AI-powered enterprise data solutions: building reusable data-processing frameworks, architecting Azure cloud services (Databricks, Functions, Event Hubs) with Python, mentoring engineers, and leading technical problem-solving.
Azure architecture and Python expertise define this Senior Data Engineer position at JLL, working on-site in Toronto, Ontario. Build AI-powered enterprise data solutions.
JLL seeks a Senior Data Engineer with 5–8 years of data engineering experience and technical leadership. You will design reusable frameworks, integrate Azure services, and develop automation supporting strategic business objectives. The work includes mentoring engineers, shaping requirements, and aligning solutions with senior stakeholders.
Key Responsibilities:
- Design reusable frameworks for enterprise-scale data processing and analytics
- Architect Azure, AI, and cloud data solutions
- Lead technical problem-solving and root cause analysis
- Mentor junior and intermediate data engineers
- Influence requirements and enterprise technical alignment
Requirements:
- Bachelor’s degree in a quantitative or technical discipline
- Five to eight years of data engineering experience
- Expert Python and advanced design pattern knowledge
- Deep Azure Databricks, Functions, and Event Hubs proficiency
- Experience delivering enterprise AI automation frameworks
Apply advanced Python, Azure, architecture, and technical leadership expertise to JLL’s AI-powered data engineering strategy in Toronto.