Senior Data Engineer

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• Design and build advanced reusable and automated frameworks for enterprise-scale data processing and analytics • Architect comprehensive data solutions integrating Azure services, AI capabilities, and cloud technologies • Lead complex technical problem-solving, root cause analysis, and strategic decision-making for critical data systems • Mentor junior and intermediate data engineers on advanced concepts, best practices, and emerging technologies • Collaborate with senior stakeholders to influence business requirements and align technical solutions with enterprise objectives • Develop AI-powered solutions and automation frameworks that drive measurable business outcomes • Champion data engineering best practices, standards, and innovation across the organization through thought leadership

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline • 5–8 years of experience in data engineering with a proven track record of technical leadership and enterprise-scale solution delivery • Expert Python programming skills including inheritance, reflection, meta-programming, and advanced design patterns • Deep proficiency in Azure data services, including Databricks, Azure Functions, and Event Hubs • Advanced expertise in relational database design, star schema modeling, and data warehousing concepts • Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale • Demonstrated experience mentoring engineers and influencing technical strategy with measurable impact • Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts • Experience with microservices architecture and full-stack data solution development • Strong system design and architecture skills for complex, cross-functional data platforms • Track record of driving process improvement and technical innovation in enterprise environments • Advanced data visualization and storytelling skills for building stakeholder consensus • Experience leading strategic data engineering initiatives that shape organizational direction

🏖️ Benefits

• Discretionary bonuses may be available • Benefits may be available • Opportunity to mentor and grow meaningful careers • Reasonable accommodations for individuals with disabilities • Remote work arrangement