Jll
real estate
SeniorDataEngineer
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“Senior Data Engineer at Jll. Skills: Data platform modernization, Lakehouse architecture, Data quality, Data governance. Modernize data platform. Lead migration to Databricks”
What You'll Achieve.
Shape a brighter way; Shape the future of real estate; Unlock value across the built environment; Enhance liquidity across the built environment; Power JLL's multi-billion-dollar business; Inform critical decisions across the organization; Spearhead modernization of core data platform; Lead evolution of large-scale, cloud-based data infrastructure; Migrate to modern Lakehouse architecture; Streamline operations; Establish best-in-class data quality; Establish observability practices; Improve operational efficiency; Improve maintainability; Enhance maintainability; Enhance testability; Enhance lineage; Ensure seamless transitions for downstream consumers; Respond confidently to issues; Translate business requirements into durable, automated validation; Access curated data safely; Ensure proper authentication; Ensure proper scoping; Ensure proper auditability; Integrate lakehouse with tools; Help shape data product strategy
Industry & Context.
Streamlining operations; Establishing best-in-class data quality; Establishing observability practices
What They're Looking For.
Must Have
5+ years in data engineering with end-to-end ownership of production pipelines, Proficiency in Spark and distributed processing, Expert-level SQL, Advanced Python skills for building data infrastructure, Proven track record building or migrating complex batch pipelines, Practical experience implementing data quality frameworks, Excellent communication skills with both technical and business stakeholders
Nice to Have
Experience with web scraping or API ingestion, Curiosity about LLM/agent approaches for data extraction and pipeline maintenance, Familiarity with MCP, LLM tool integration, or internal "data agent" prototypes with appropriate guardrails, Background working with complex domain data including hierarchies, entities, or transactional systems, Proficiency with Databricks (jobs/workflows, catalog/governance, Delta or similar formats)
What You'll Do.
Modernize data platform
Lead migration to Databricks
Redesign pipeline architecture
Build observable workflows
Refactor data structures
Design data quality framework
Build automated checks
Explore agent-assisted validation
Create actionable alerting
Partner with domain experts
Architect data access
Prototype integrations
Shape data product strategy
How You'll Work.
Team & Collaboration
Collaborate closely with engineering teams; Collaborate closely with product teams; Partner with domain experts
Communication Scope
Communication skills with technical stakeholders; Communication skills with business stakeholders
Process & Methodology
Transformation roadmap, Phased rollout plans
Full Job Description
**JLL empowers you to shape a brighter way**. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. **About Us** JLL (NYSE: JLL) is a Fortune 500 leader in commercial real estate services, operating globally with annual revenue in the tens of billions. Within JLL Technologies, our strategic business unit, we harness cutting-edge technology to unlock value and enhance liquidity across the world's built environment. Our Tel Aviv technology hub drives enterprise-scale AI, data science, and machine learning initiatives that power JLL's multi-billion-dollar business. We design, build, and operate production-grade data and AI systems that inform critical decisions across the organization. **About the Role** We're seeking a **Senior Data Engineer** to spearhead the modernization of our core data platform. You'll lead the evolution of our large-scale, cloud-based data infrastructure—migrating to a modern Lakehouse architecture, streamlining operations, and establishing best-in-class data quality and observability practices. You'll also explore AI-assisted data collection methods and help architect secure, governed access patterns for internal tools and intelligent agents. This is a hands-on role offering genuine ownership: you'll shape architecture, drive implementation, and collaborate closely with engineering and product teams to define what an exceptional data infrastructure looks like. **T his position offers flexible hybrid working arrangements. ** **What You 'll Do** 1\. Modernize the data platform * Lead migr
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