This role involves designing, building, and scaling a core data platform that powers data-driven insights across JLL's global operations
Job Summary
This role involves designing, building, and scaling a core data platform that powers data-driven insights across JLL's global operations.
The successful candidate will consolidate siloed systems into a unified data layer serving as the single source of truth for stakeholders.
You will partner with Research, Product, and Engineering teams to build foundational data layers for intelligent applications and Agentic AI workflows.
Matching Summary
This role involves designing, building, and scaling a core data platform that powers data-driven insights across JLL's global operations.
Skills & Requirements
Must-have
4-6 years data engineering experience
Azure or AWS cloud platform proficiency
Python Java Scala server-side programming
PySpark distributed data processing
Java Spring Boot backend development
SQL NoSQL vector database experience
Nice-to-have
React Angular Vue.js frontend frameworks
Kafka Spark Streaming streaming tools
Docker Kubernetes containerization
LangChain LlamaIndex orchestration tools
Semantic layer knowledge graph design
AI-augmented software development lifecycle
Key Requirements
4-6 years data engineering experience
2-3 years cloud platform experience
Bachelor's degree in Computer Science or related field (Preferred)