JLL supports the Whole You, personally and professionally.Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a current industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.What the Job Involves:
We are seeking a Data Engineer P2 who is a self-starter to work in a diverse and rapid-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 experienceResponsibilities:
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 productive 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

📌 Data Engineer 2 Toronto
🏢 Jones Lang LaSalle
📍 Toronto