Senior Data Engineer

JLL; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

JLL is seeking a Senior Data Engineer to lead enterprise data initiatives, architect AI-powered automation, mentor engineers, and shape data strategy for the real estate technology group.

You will design automated frameworks, integrate Azure services, and collaborate with stakeholders to deliver measurable business value. This role offers influence across the data platform and requires 5–8 years of experience and deep Azure expertise.

Qualifications

• Bachelor's degree in CS, IS, math, statistics, or related field.
• 5–8 years of data engineering experience with leadership.
• Expert Python programming with advanced patterns.
• Deep Azure data services proficiency (Databricks, Functions, Event Hubs).
• Strong relational data modeling and warehousing knowledge.
• Experience delivering AI-powered enterprise-grade solutions.

Responsibilities

• Design and build advanced reusable and automated frameworks for enterprise-scale data processing and analytics.
• Architect data solutions integrating multiple Azure services, AI capabilities, and cloud technologies aligned with strategic 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 and best practices.
• 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 through thought leadership.

Skills

Python programming

Azure data services

Relational data modeling

AI automation

Mentoring engineers

Education

Bachelor's degree in CS or related

Master's degree in CS/Data Science

Tools

Databricks

Azure Functions

Event Hubs

Apache Spark

Kafka

Job description

Senior Data Engineer – JLL

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 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