Senior Data Engineer

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. 

This position offers flexible hybrid working arrangements.

What You'll Do 

1. Modernize the data platform 

• Lead migration from our current warehouse and orchestration setup to Databricks, creating a clear transformation roadmap 

• Redesign pipeline architecture to improve operational efficiency and maintainability 

• Build observable, repeatable, orchestrated workflows that are easier to own and operate 

• Refactor data structures into cleaner relational models that enhance maintainability, testability, and lineage—while ensuring seamless transitions for downstream consumers 

• Create comprehensive documentation including migration patterns, phased rollout plans, and operational runbooks 

2. Establish data quality excellence 

• Design and implement a robust data quality framework across critical datasets using industry-standard tools  

• Build automated checks for schema validation, volume monitoring, freshness tracking, and distribution analysis 

• Explore agent-assisted validation for complex scenarios, incorporating human review where judgment is needed 

• Create actionable alerting with clear ownership so teams can respond confidently to issues 

• Partner with domain experts to translate business requirements into durable, automated validation 

3. Enable secure, governed data access 

• Architect how internal users and AI agents access curated data safely through protocols like MCP (Model Context Protocol), with proper authentication, scoping, and auditability 

• Prototype integrations between the lakehouse and tools engineers and analysts use daily 

• Help shape our "data as a product" strategy with appropriate access boundaries and governance 

What We're Looking For 

Required Experience 

• 5+ years in data engineering with end-to-end ownership of production pipelines 

• Strong proficiency in Spark and distributed processing 

• Expert-level SQL and experience designing effective warehouse/lakehouse data models 

• Advanced Python skills for building data infrastructure: factory patterns, abstractions, dynamic DAG generation from configuration, parameterized task definitions, and other programmatic orchestration patterns—not just scripting 

• Proven track record building or migrating complex batch pipelines, including dependency mapping, phased migration strategies, and maintaining backward compatibility 

• Practical experience implementing data quality frameworks, building custom tests, establishing monitoring, and responding effectively when issues arise 

• Excellent communication skills with both technical and business stakeholders 

Strong Advantages 

• Experience with web scraping or API ingestion at scale; 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 
• Strong proficiency with Databricks (jobs/workflows, catalog/governance, Delta or similar formats) 

Location:

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –  you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.