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JLL is seeking a Senior Data Engineer with full-stack capabilities to design and scale a core data platform that supports data-driven insights across the organization. The ideal candidate should possess solid experience in data engineering, cloud platforms, and strong programming skills, particularly in Python and Java, along with a passion for building robust data infrastructures.
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Job Summary
JLL Technologies delivers technological innovation to commercial real estate by building a core data platform that powers data-driven insights and AI workflows.
The Senior Data Engineer will own critical components of the data ecosystem, partnering with multiple teams to build scalable, unified data solutions.
This role offers the opportunity to impact intelligent applications, Agentic AI workflows, and LLM-powered assistants with a rapid, iterative development approach.
Matching Summary
Match Score: 75
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JLL is seeking a Senior Data Engineer with full-stack capabilities to design and scale a core data platform that supports data-driven insights across the organization. The ideal candidate should possess solid experience in data engineering, cloud platforms, and strong programming skills, particularly in Python and Java, along with a passion for building robust data infrastructures.
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Skills & Requirements
Must-have
scalable fault-tolerant data architectures
cloud platforms Azure or AWS
server-side programming with Python or Java
data modeling and architecture skills
SQL and NoSQL database experience
distributed data processing with PySpark/Spark
backend development with Java Spring Boot
Nice-to-have
modern frontend frameworks React or Angular
semantic layers and knowledge graphs
streaming tools Kafka or Spark Streaming
DevOps and CI/CD pipelines
containerization with Docker and Kubernetes
LLM-driven workflows and prompt engineering
AI-augmented software development tools
Key Requirements
4–6 years data engineering experience
2–3 years cloud platform hands-on experience
Bachelor's degree in Computer Science or related field
experience with machine learning model deployment
proven software engineering backend experience
experience with SQL, NoSQL, and AI-centric databases