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. 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.
About JLL Technologies (JLLT):
JLL Technologies is a specialized group within JLL that delivers unparalleled digital advisory, implementation, and services solutions to organizations globally
We provide best-in-class technologies to bring digital ambitions to life by aligning technology, people, and processes
Our goal is to leverage technology to increase the value and liquidity of the world's buildings while enhancing the productivity and happiness of those who occupy them
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 general levels by utilizing in-depth knowledge of data, infrastructure, technologies, and data engineering experience
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 engineeri

📌 Engineer - Data Engineer (Remote) (Guadalajara)
🏢 Jones Lang LaSalle
📍 Guadalajara