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JLL is seeking a Senior Data Engineer with full-stack capabilities to design and scale a core data platform that enhances data-driven insights across the organization. The ideal candidate should possess strong data engineering skills along with experience in cloud platforms, programming languages, and architecture.
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Job Summary
Design, build, and scale a core data platform that consolidates siloed systems into a unified data layer, serving as the single source of truth for stakeholders across JLL.
Build features and full-stack applications that bridge structured and unstructured data for downstream consumption, enabling smarter search, contextual recommendations, and automated report generation.
Partner with Research, Product, and Engineering teams to build a platform that can keep pace with shifting market priorities and enable foundational data layers for intelligent applications, Agentic AI workflows, and LLM-powered assistants.
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 enhances data-driven insights across the organization. The ideal candidate should possess strong data engineering skills along with experience in cloud platforms, programming languages, and architecture.
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Skills & Requirements
Must-have
scalable data platform
data integration
full-stack applications
cloud platforms (Azure/AWS)
Python, Java, or Scala
PySpark/Spark
backend development (Java/Spring Boot)
data modeling and architecture
SQL and NoSQL databases
AI-centric databases
Nice-to-have
semantic layers or knowledge graphs
streaming tools (Kafka/Spark Streaming)
DevOps principles and CI/CD
containerization (Docker/Kubernetes)
LLM-driven workflows
AI-augmented software development
Key Requirements
4-6 years of experience in data engineering
2-3 years of cloud platform experience
Bachelor's degree in Computer Science or related field (preferred)
Experience with modern frontend frameworks (preferred)
Experience with streaming tools (preferred)
Strong understanding of DevOps principles (preferred)