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 general 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

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
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
Strong expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
Strong database/backend testing with the ability to write complex SQL queries for data validation and integrity
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 Dev Ops model, including installing, configuring, and integrating automation scripts on continuous integration tools (CI/CD) and Git Hub 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 Big Query, Snowflake)
Strong problem-solving skills and ability to analyze complex data processing issues

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

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons.

We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. 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 HRSCL [email protected] . Please direct any other general recruiting inquiries to our Contact Us page I want to work for JLL.

Si necesita un ajuste razonable para cualquier parte del proceso de empleo – incluyendo la candidatura en línea y/o el proceso general de selección – puede enviarnos un correo electrónico a HRSCL [email protected] . Este correo electrónico es solo para solicitar un ajuste razonable.

Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos Quiero trabajar para JLL.

For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties.

A Fortune 500 company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated.

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