Data Engineer 2 - Full Stack

Jones Lang Lasalle Ip Inc

Jalisco, MEX
On-site - jalisco, mex
Data pipeline development
Cloud platforms azure or aws
Server-side programming with python or java
Jones Lang LaSalle (JLL) is seeking a Data Engineer 2 with full-stack capabilities to contribute to the development of a unified data platform within their JLL Technologies division. The ideal candidate will have experience in data engineering, cloud platforms, and programming, and will play a crucial role in providing data-driven insights for internal and external stakeholders

Job Summary

  • JLL Technologies delivers technological innovation to commercial real estate by building a unified data platform that powers data-driven insights and AI workflows.
  • The Data Engineer will own and develop key components of the data ecosystem, collaborating across business, product, and engineering teams to rapidly deliver impactful data products.
  • This role offers the opportunity to build foundational data layers for intelligent applications, Agentic AI workflows, and LLM-powered assistants in a fast-paced, iterative environment.

Matching Summary

Match Score: 85

Jones Lang LaSalle (JLL) is seeking a Data Engineer 2 with full-stack capabilities to contribute to the development of a unified data platform within their JLL Technologies division. The ideal candidate will have experience in data engineering, cloud platforms, and programming, and will play a crucial role in providing data-driven insights for internal and external stakeholders.

Skills & Requirements

Must-have

  • Data pipeline development
  • Cloud platforms Azure or AWS
  • Server-side programming with Python or Java
  • Distributed data processing with PySpark/Spark
  • Backend development with Java and Spring Boot
  • SQL and NoSQL database experience
  • Data modeling principles

Nice-to-have

  • Modern frontend frameworks React or Angular
  • Streaming tools like Kafka or Spark Streaming
  • DevOps principles and CI/CD pipelines
  • Containerization with Docker and Kubernetes
  • Exposure to semantic layers or knowledge graphs
  • Experience with LLM-driven workflows and prompt engineering
  • AI-powered development tools usage

Key Requirements

  • 2–4 years data engineering experience
  • 1–2 years cloud platform hands-on experience
  • Bachelor's degree in Computer Science or related field
  • Experience with SQL and NoSQL databases
  • Basic machine learning concepts understanding

Work Rights

Not specified

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