Jll
Real Estate
StaffDataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Staff Data Engineer at Jll. Skills: AI Agents, Data Engineering, Solution Architecture. Lead solution design. Define architecture decisions”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
6+ years software or data engineering, Architect end-to-end data and AI systems, Hands-on experience building AI agents
Nice to Have
Experience with LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel, Experience with MCP servers and clients
What You'll Do.
Define architecture decisions
Design scalable systems
Participate in architecture reviews
Create technical documentation
Design and deliver prototypes
Understand business case
Balance speed and standards
Maintain agent skills
Implement MCP servers
Build agent orchestration layers
Design evaluation harnesses
Design monitoring pipelines
Build AI-powered features
Deploy AI-powered features
Design data pipelines
Implement data pipelines
Design backend services
Implement backend services
Integrate RAG systems
Own data transformation
Influence technical direction
Communicate technical concepts
Mentor junior engineers
Share patterns and practices
Foster collaborative culture
How You'll Work.
Team & Collaboration
Product teams; Program teams; Engineering teams; Cross-functional teams; Non-technical stakeholders
Communication Scope
Technical documentation; Executive presentations
Process & Methodology
Agile
Full Job Description
**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. **About JLL and Data Engineering** 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. The Data Engineering team at JLL sits at the intersection of technology and business impact, building the data foundations and intelligent solutions that power decisions across the enterprise. We move fast, think big, and deliver production-grade platforms that transform how JLL operates — combining deep technical expertise with a relentless focus on solving real problems for real users. **Role Overview** As a Forward Deployed Data Engineer, you will operate at the front lines of innovation — embedded directly with product, program, and engineering teams to rapidly design, architect, prototype, and deploy data-driven solutions that solve high-priority business problems. This is not a traditional engineering role with long delivery cycles. You will be expected to go from concept to working prototype in days, not months, while maintaining enterprise-grade standards for quality, security, and scalability. You bring an exceptional combination of skills: solution design and architecture experience, deep hands-on engineering across data and AI
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