Senior Data Engineer – JLL What this job involves: As a Senior Data Engineer at JLL, you will leverage advanced technical expertise and enterprise-focused thinking to drive AI-powered automation that achieves strategic business objectives.

This role positions you as a technical leader who mentors team members, shapes business and regulatory requirements, and architects innovative data solutions that deliver measurable organizational value. You'll design cutting-edge automated frameworks, develop platform features with cross-functional alignment, and use compelling storytelling to build consensus across diverse stakeholder groups—all while significantly impacting JLL's Data Engineering strategy and the future of real estate technology.

What your day-to-day will look like:

- 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 aligned with strategic business goals
- 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

Required Qualifications:

- Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
- 5-8 years of experience in data engineering with proven track record of 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 (Databricks, Azure Functions, Event Hubs) and cloud-native architecture
- 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

Preferred Qualifications:

- Master's degree in Computer Science, Data Science, or related technical discipline
- Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts
- Experience with microservices architecture and full-stack data solution development
- Solid system design and architecture skills for complex, cross-functional data platforms
- Track record of driving process improvement and technical innovation in enterprise environments
- Advanced data visualization and storytelling skills for building stakeholder consensus
- Experience leading strategic data engineering initiatives that shape organizational direction

📌 Senior Data Engineer (Toronto)
🏢 JLL
📍 Toronto