Senior Data Engineer

Senior Data Engineer – JLL

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

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
• Strong 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

Estimated compensation for this position:

141,600.00 – 177,000.00 CAD per year

This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

Remote – Toronto, ON

Opening Type:

New Role

If this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!