Senior Data Engineer

JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

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

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.

About JLL –

We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.

Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.

Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.