About this role
Lead data engineering at JLL, architecting enterprise-scale Azure data solutions with AI-powered automation. Mentor teams, shape technical strategy, and drive innovation in real estate technology.
Must have
Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
5-8 years of experience in data engineering with proven technical leadership and enterprise-scale solution delivery
Expert Python programming skills including inheritance, reflection, meta-programming, and advanced design patterns
Deep proficiency in Azure data services including Databricks, Azure Functions, and Event Hubs
Advanced expertise in relational database design, star schema modeling, and data warehousing concepts
Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale
Demonstrated experience mentoring engineers and influencing technical strategy with measurable impact
Technologies
Responsibilities
Design and build advanced reusable and automated frameworks for enterprise-scale data processing and analytics
Architect comprehensive data solutions integrating multiple Azure services, AI capabilities, and cloud technologies
Lead complex technical problem-solving initiatives, root cause analysis, and strategic decision-making for critical data systems
Mentor junior and intermediate data engineers on advanced concepts, best practices, and emerging technologies
Collaborate with senior stakeholders to influence business requirements and align technical solutions with enterprise objectives
Develop AI-powered solutions and automation frameworks that drive measurable business outcomes
Champion data engineering best practices, standards, and innovation across the organization through thought leadership
Recruitment process
Remote position based in Toronto, ON
New role opening
JLL uses AI to analyze applications for relevant skills and qualifications
JLL is an Equal Opportunity Employer committed to disability accommodations
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