Senior Data Platform Engineer (hybrid) – Tel Aviv

Jones Lang Lasalle Ip Inc

Tel Aviv, Israel
Hybrid
5+ years industry experience
Strong software engineering fundamentals
Experience deploying data pipelines to production
Jones Lang Lasalle (JLL) is seeking a Senior Data Platform Engineer to join their Enterprise Data Science Group in Tel Aviv. The role focuses on orchestrating data pipelines, deploying AI models, and ensuring system reliability in a hybrid work environment, with a strong emphasis on collaboration and innovation

Job Summary

  • The role involves designing and operating production-grade AI systems that sit at the core of decision-making for a multi-billion dollar business.
  • Candidates will work on diverse data challenges including enterprise-wide entity resolution, sales-growth recommender systems, and agentic automation workflows.
  • The position offers a flexible hybrid work model from a newly renovated Tel Aviv headquarters with benefits including an on-site gym and private health insurance.

Matching Summary

Match Score: 85

Jones Lang Lasalle (JLL) is seeking a Senior Data Platform Engineer to join their Enterprise Data Science Group in Tel Aviv. The role focuses on orchestrating data pipelines, deploying AI models, and ensuring system reliability in a hybrid work environment, with a strong emphasis on collaboration and innovation.

Skills & Requirements

Must-have

  • 5+ years industry experience
  • Strong software engineering fundamentals
  • Experience deploying data pipelines to production
  • Proficiency with Spark and orchestration tools
  • Cloud provider experience (AWS, Azure, GCP, Databricks)
  • CI/CD and containerization expertise
  • GenAI technology knowledge (LLMs, RAG, vector DBs)

Nice-to-have

  • Excitement about using latest AI coding tools
  • Collaborative team culture fit
  • Experience with entity resolution and recommender systems
  • Ability to scope new projects and create proofs of concept

Key Requirements

  • 5+ years of industry experience in data platform or backend engineering
  • Proven track record of deploying models to production
  • Familiarity with data, ML, or LLM monitoring and observability tools

Work Rights

Not specified

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