Senior Data Engineer

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 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 at enterprise scale
• Architecture: Strong system design and architecture skills for complex data solutions and microservices

Core Competencies Assessment

• Technical Skills (35%): Full-stack development, Azure proficiency, data modeling expertise, AI solution implementation
• Problem-Solving (30%): Framework development, AI solution ownership, platform feature design, complex system debugging
• Communication (20%): Mentoring experience, technical leadership examples, strategy contributions, consensus building
• Learning & Growth (15%): Enterprise project experience, AI expertise, process improvement track record

What We Can Do For You:

You'll join a senior technical team where you'll lead innovative data engineering initiatives that incorporate cutting-edge AI and automation technologies. We provide opportunities for technical leadership, strategic influence, and career advancement while working on enterprise-scale challenges that shape the future of real estate technology.

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.

Join us to lead technical innovation while mentoring the next generation of data engineers and driving AI-powered solutions that transform how enterprise real estate decisions are made.

Location: Remote –Jalisco,MEX

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!