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 the role
As a Senior Data Engineer , you will apply advanced technical knowledge and enterprise-focused thinking using AI and automation to achieve strategic enterprise objectives. You’ll serve as a technical leader who coaches team members, influences business and regulatory requirements, and drives AI-powered solutions that deliver measurable organizational value.
In this role, you’ll identify innovative reusable solutions, investigate complex technical challenges, and develop strategic data solutions with a cross-functional perspective. You’ll create advanced automated frameworks, design platform features, and use storytelling techniques to build consensus across diverse stakeholder groups while significantly impacting our Data Engineering strategy.
Responsibilities:
Advanced Technical Leadership
Design and build advanced reusable and automated frameworks for enterprise-scale data processing
Architect platform features with comprehensive cross-functional view and strategic alignment
Develop AI-powered solutions that drive measurable business outcomes
Lead complex problem-solving initiatives and root cause analysis for critical systems
Strategic Data Solutions
Create comprehensive data solutions that align with enterprise objectives and strategic goals
Design and implement data modeling using relational and star schema architectures
Build full-stack data solutions integrating multiple Azure services and cloud technologies
Drive innovation in data processing, storage, and analytics capabilities
Team Leadership & Influence
Mentor junior and intermediate data engineers on advanced technical concepts and best practices
Influence business and regulatory requirements through technical expertise and strategic recommendations
Use storytelling and data visualization to build consensus across organizational levels
Lead technical decision-making for complex data architecture and implementation choices
Enterprise Impact
Drive organizational value through strategic data engineering initiatives and AI implementation
Impact Data Engineering strategy through thought leadership and technical innovation
Collaborate with senior stakeholders to align technical solutions with business strategy
Champion data engineering best practices and standards across the organization
Qualifications
Experience & Education
Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline; Master’s degree preferred
5-8 years of experience in data engineering with proven track record of technical leadership
Demonstrated experience building enterprise-scale data solutions and frameworks
Experience mentoring engineers and influencing technical strategy
Technical Skills & Competencies
Advanced Programming : Expert Python skills including inheritance, reflection, meta-programming, and advanced design patterns
Full-Stack Capabilities : Comprehensive understanding of end-to-end data solution development
Big Data & Streaming : Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts
Azure Services : Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs), architecture, and cloud-native solutions
Data Modeling : Advanced expertise in relational database design, star schema modeling, and data warehousing concepts
AI/Automation : Proven experience implementing AI-powered solutions and automation frameworks…