What is a Data Engineer at Jones Lang LaSalle?
Jones Lang LaSalle (JLL) is a global leader in real estate and investment management, where data is the foundational asset driving billions of dollars in property transactions, market forecasting, and sustainability initiatives. As a Data Engineer at JLL, you will play a critical role in transforming raw, fragmented real estate datasets into structured, highly accessible data pipelines. Your work directly impacts property technology platforms, market intelligence tools, and ESG (Environmental, Social, and Governance) reporting systems used by multinational corporations and investors worldwide.
At its core, this role is about managing complexity and scale. You will build and optimize the data infrastructure that integrates spatial data, financial transactions, IoT sensor data from smart buildings, and macroeconomic indicators. By developing robust ETL/ELT pipelines and maintaining enterprise-grade data warehouses, you enable data scientists, business analysts, and executive stakeholders to make critical, real-time decisions.
Joining JLL as a Data Engineer means working at the intersection of physical real estate and cutting-edge cloud technology. The challenges you will solve are highly unique—such as standardizing global property records across multiple regulatory environments and optimizing data models for geographic information systems (GIS). It is a highly rewarding opportunity for engineers who want to see their code directly influence the physical world and the future of urban development.


