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 new 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 Full Stack 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 end-to-end data solutions — from cloud data pipelines through APIs to the applications that consume them — 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, data engineering, and modern application development
Responsibilities:
Design, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark
Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms
Build and operate secure, well-documented REST APIs and microservices that expose curated data products to downstream applications
Develop responsive, accessible web interfaces dashboards, data exploration tools, and internal applications that make engineered data usable to business stakeholders
Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture
Troubleshoot and resolve issues related to data processing, data quality, data pipeline performance, and application behavior
Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, PySpark, and modern web application development
Collaborate with data scientists, analysts, product managers, and other stakeholders to understand requirements and deliver solutions that meet their needs
Document data infrastructure, data pipelines, ETL processes, API contracts, and application architecture, ensuring knowledge transfer and smooth handovers
Create complex automated tests across data, service, and UI layers and integrate them into testing frameworks
Requirements:Education & Experience:
Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related field (Master's degree preferred)
Minimum 3-5 years of experience in data engineering and full-stack development, with a focus on cloud-based environments
Demonstrated experience shipping at least one production application end to end from data ingestion through API to user interface
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 experience in designing and implementing data pipelines, ETL processes, and workflow automation
Strong database/backend testing with the ability to write complex SQL queries for data validation and integrity
Strong streaming and real-time API/service validation including automation
Proficiency building REST APIs and microservices, including experience with automated web services (WSDL) and microservices (REST) using custom scripts and assertions for data validation and data-driven testing
Working proficiency with a modern JavaScript/TypeScript front-end framework (React preferred) including component architecture and state management
Solid command of HTML, CSS, and responsive layout, with awareness of accessibility standards (WCAG)
Experience with data visualization libraries (e.g., D3, Recharts, Plotly) or BI embedding
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 and web applications
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 containerization and deployment patterns (e.g., Docker, Kubernetes, serverless)
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 and application issues
Ability to reason across layer boundaries — diagnosing whether an issue originates in the pipeline, the service, or the interface
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
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
