JLL empowers you to shape a brighter way . 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. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. 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. Data Engineer 2 (Full Stack) About JLL and JLL Technologies JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people, and our communities. JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. 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 that occupy them. What this job involves We are seeking a talented Data Engineer with full-stack capabilities to join our team. In this role, you will contribute to designing, building, and scaling a core data platform that powers data-driven insights across JLL. You will help consolidate siloed systems into a unified data layer, serving as the single source of truth for stakeholders across the business. The ideal candidate is a capable data architect and software engineer who can translate user requirements into robust data products and applications. What you'll get to do As a Data Engineer, you will own and develop key components of our data ecosystem. Your "customers" are internal and external stakeholders—including brokers, clients, application teams, and data scientists—and your mission is to provide them with the data and tools needed to generate market-leading insights. You will collaborate with Business, Product, and Engineering teams to build a platform that can keep pace with shifting market priorities. This is an opportunity to make a meaningful impact by building the foundational data layer for intelligent applications, Agentic AI workflows, and LLM-powered assistants. Key responsibilities Data Pipeline Development : Build and maintain reliable data pipelines that consolidate regional and country-specific systems into a unified data platform. Data Integration : Integrate structured and unstructured data sources to enable advanced analytics, model building, and insight generation. Application Development : Develop features and full-stack applications that bridge structured and unstructured data for downstream consumption, enabling smarter search, contextual recommendations, and automated report generation. API and Integration Development : Build integration components, including APIs and integration patterns, to enable applications, Agentic AI, and analytics users to consume data effectively. ML Model Support : Support the integration of machine learning models into production workflows, ensuring reliable execution and consumption by downstream applications. Data Enablement : Contribute to the design of semantic layers and knowledge graphs to make commercial real estate data discoverable and consumable by stakeholders and AI/ML systems. Technical Implementation : Participate in technical solutioning across the project lifecycle, from discovery and architecture through deployment and iteration. DevOps and Quality : Deploy and monitor data products on cloud platforms with observability, telemetry, data lineage, and auditability to ensure outputs are traceable and compliant. Cross-functional Collaboration : Work closely with Business, Product, and Engineering teams to translate stakeholder needs into data products with rapid turnaround. Who you are You are an accomplished engineer with a passion for building reliable data platforms and the applications that consume them. You think systematically about scalable solutions and enjoy designing services that support data-intensive applications and analytics. You thrive in an iterative, fast-paced environment where priorities shift with market conditions. You have a developing sense of ownership and take pride in the quality and reliability of the data infrastructure you build. Qualifications and skills Required Qualifications 2–4 years of experience in data engineering and Big Data development, with exposure to scalable, fault-tolerant architectures. 1–2 years of hands-on experience with cloud platforms such as Azure or AWS (e.g., Databricks, Azure Data Factory, Synapse). Solid proficiency in a server-