Senior Data Engineer - Full Stack

JLL

Jalisco, MEX
On-site – jalisco, mex
Scalable fault-tolerant data architectures
Cloud platforms azure or aws
Server-side programming with pyspark/spark
JLL is seeking a Senior Data Engineer with full-stack capabilities to design and build a unified data platform that supports data-driven insights for the company. The ideal candidate should have substantial experience in data engineering, a strong programming background, and familiarity with cloud platforms. This position offers an opportunity to make a significant impact within the rapidly evolving commercial real estate sector

Job Summary

  • JLL Technologies brings technological innovation to commercial real estate by delivering digital advisory, implementation, and services solutions globally.
  • The Senior Data Engineer will own critical components of the data ecosystem, consolidating siloed systems into a unified data layer to serve internal and external stakeholders.
  • This role offers the opportunity to build foundational data layers for intelligent applications, Agentic AI workflows, and LLM-powered assistants while collaborating closely with business, product, and engineering teams.

Matching Summary

Match Score: 85

JLL is seeking a Senior Data Engineer with full-stack capabilities to design and build a unified data platform that supports data-driven insights for the company. The ideal candidate should have substantial experience in data engineering, a strong programming background, and familiarity with cloud platforms. This position offers an opportunity to make a significant impact within the rapidly evolving commercial real estate sector.

Skills & Requirements

Must-have

  • scalable fault-tolerant data architectures
  • cloud platforms Azure or AWS
  • server-side programming with PySpark/Spark
  • backend development with Java and Spring Boot
  • data modeling and architecture skills
  • SQL and NoSQL database experience
  • machine learning model deployment

Nice-to-have

  • modern frontend frameworks React Angular Vue
  • semantic layers and knowledge graphs
  • streaming tools Kafka Spark Streaming
  • DevOps CI/CD containerization Docker Kubernetes
  • LLM-driven workflows and prompt engineering
  • AI-augmented software development lifecycle

Key Requirements

  • 4–6 years data engineering experience
  • 2–3 years cloud platform hands-on experience
  • proficiency in Python, Java, or Scala
  • experience with PySpark/Spark
  • Bachelor's degree preferred
  • experience with SQL, NoSQL, and AI-centric databases

Work Rights

Not specified

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