Senior Data Engineer

Jones Lang LaSalle Incorporated; Toronto; On-site; CAD 138,000 - 173,000; Full time

Job summary

Jones Lang LaSalle Incorporated in Toronto, ON is seeking a Senior Data Engineer to lead enterprise-scale data initiatives and AI-powered automation. You will design data platforms, mentor engineers, and collaborate with stakeholders to translate business needs into scalable solutions using Azure data services and open-source tools.

The role emphasizes solving complex data problems, building reusable frameworks, and shaping the data engineering strategy for real estate technology initiatives.

Qualifications

• Bachelor's degree in Computer Science / Information Systems / Mathematics / Statistics or related field
• 5–8 years of data engineering experience with leadership and enterprise-scale delivery
• Expert Python programming, advanced design patterns and OO concepts
• Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs) and cloud-native architecture
• Experience implementing AI-powered data solutions and mentoring engineers

Responsibilities

• Design and build enterprise-scale data processing frameworks
• Architect comprehensive data solutions integrating Azure services and cloud technologies
• Lead complex technical problem-solving and root-cause analysis for data systems
• Mentor junior data engineers and influence technical strategy
• Collaborate with stakeholders to align data solutions with business goals
• Develop AI-powered automation frameworks to drive measurable outcomes

Skills

Python

Data engineering

Mentoring

Azure

Databricks

Spark

Kafka

SQL

Education

Bachelor's degree

Master's degree

Tools

Databricks

Azure Functions

Event Hubs

Apache Spark

PySpark

Kafka

Job description

## Senior Data EngineerApply: On-site: Toronto, ON: Full time: Posted Today: REQ541419**JLL empowers you to shape a brighter way**.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.Job Description**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:*** Preferred Master's degree in Computer Science, Data Science, or related technical discipline. Bachelor's degree can also be considered.* 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:**138,300.00 – 172,800.00 CAD per year *This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation.* **Location:**On-site –Toronto, ON**Opening Type:**Replacement