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.

What the Job Involves We are seeking a Data Engineer P2 who is a self-starter to work in a diverse and fast-paced environment as part of our Enterprise Data team

This individual contributor role is responsible for designing and developing data solutions that are strategic to the business and built on the latest technologies and patterns

This is a global role that requires partnering with the broader JLLT team at the country, regional, and global levels by utilizing in-depth knowledge of data, infrastructure, technologies, and data engineering experience

Responsibilities Design, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture

Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms

Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance

Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, and PySpark

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs





Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers

Create complex automated tests and integrate them into testing frameworks

Requirements Education &

Experience Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred)

Minimum 3-5 years of experience in data engineering or full-stack development, with a focus on cloud-based environments

Technical Skills Strong expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects

Strong Databricks experience

Strong database/backend testing with the ability to write complex SQL queries for data validation and integrity

Robust streaming and real-time API/service validation including automation

Experience with automated web services (WSDL) and microservices (REST) using custom scripts and assertions for data validation and data-driven testing

Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

Proficiency in object-oriented programming and software design patterns

Experience working in DevOps model, including installing, configuring, and integrating automation scripts on continuous integration tools (CI/CD) and GitHub for real-time test suite execution and troubleshooting

Experience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines





Strong experience in designing and implementing data pipelines, ETL processes, and workflow automation

Familiarity with data warehousing concepts, dimensional modeling, data governance best practices, and cloud-based data warehousing platforms (e.g., AWS Redshift, Google BigQuery, Snowflake)

Familiarity with cutting-edge AI technologies and demonstrated ability to rapidly learn and adapt to emerging concepts and frameworks

Core Competencies Strong problem-solving skills and ability to analyze complex data processing issues

Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams

Attention to detail and commitment to delivering high-quality, reliable data solutions

Ability to adapt to evolving technologies and work effectively in a fast-paced, dynamic environment

Estimated compensation for this position: 90,000.00 – 100,000.00 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

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [email protected]. This email is only to request an accommodation.

Please direct any other general recruiting inquiries to our Contact Us page

📌 Data Engineer 2 (Toronto)
🏢 Jones Lang LaSalle
📍 Toronto