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!
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.
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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.
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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 HRSCLeaves@jll.com. 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.
Jones Lang LaSalle ("JLL") está comprometida a trabajar con personas con discapacidades y proporcionarles accesibilidad. Si necesita un ajuste razonable para cualquier parte del proceso de empleo – incluyendo la candidatura en línea y/o el proceso general de selección – puede enviarnos un correo electrónico a HRSCLeaves@jll.com. Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos > Quiero trabajar para JLL.
