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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. <h3 style="color:!important">About the role</h3>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.<h3 style="color:!important">Responsibilities:</h3>Advanced Technical Leadership<ul><li>Design and build advanced reusable and automated frameworks for enterprise-scale data processing</li><li>Architect platform features with comprehensive cross-functional view and strategic alignment</li><li>Develop AI-powered solutions that drive measurable business outcomes</li><li>Lead complex problem-solving initiatives and root cause analysis for critical systems</li></ul>Strategic Data Solutions<ul><li>Create comprehensive data solutions that align with enterprise objectives and strategic goals</li><li>Design and implement data modeling using relational and star schema architectures</li><li>Build full-stack data solutions integrating multiple Azure services and cloud technologies</li><li>Drive innovation in data processing, storage, and analytics capabilities</li></ul>Team Leadership & Influence<ul><li>Mentor junior and intermediate data engineers on advanced technical concepts and best practices</li><li>Influence business and regulatory requirements through technical expertise and strategic recommendations</li><li>Use storytelling and data visualization to build consensus across organizational levels</li><li>Lead technical decision-making for complex data architecture and implementation choices</li></ul>Enterprise Impact<ul><li>Drive organizational value through strategic data engineering initiatives and AI implementation</li><li>Impact Data Engineering strategy through thought leadership and technical innovation</li><li>Collaborate with senior stakeholders to align technical solutions with business strategy</li><li>Champion data engineering best practices and standards across the organization</li></ul><h3 style="color:!important">Qualifications</h3>Experience & Education<ul><li>Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline; Master’s degree preferred</li><li>5-8 years of experience in data engineering with proven track record of technical leadership</li><li>Demonstrated experience building enterprise-scale data solutions and frameworks</li><li>Experience mentoring engineers and influencing technical strategy</li></ul>Technical Skills & Competencies<ul><li>Advanced Programming: Expert Python skills including inheritance, reflection, meta-programming, and advanced design patterns</li><li>Full-Stack Capabilities: Comprehensive understanding of end-to-end data solution development</li><li>Big Data & Streaming: Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts</li><li>Azure Services: Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs), architecture, and cloud-native solutions</li><li>Data Modeling: Advanced expertise in relational database design, star schema modeling, and data warehousing concepts</li><li>AI/Automation: Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale</li><li>Architecture: Strong system design and architecture skills for complex data solutions and microservices</li></ul>Core Competencies Assessment<ul><li>Technical Skills (35%): Full-stack development, Azure proficiency, data modeling expertise, AI solution implementation</li><li>Problem-Solving (30%): Framework development, AI solution ownership, platform feature design, complex system debugging</li><li>Communication (20%): Mentoring experience, technical leadership examples, strategy contributions, consensus building</li><li>Learning & Growth (15%): Enterprise project experience, AI expertise, process improvement track record</li></ul><h3 style="color:!important">What we can do for you:</h3>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,MEXIf 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.JLL Privacy NoticeJones 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.For more information about how JLL processes your personal data, please view our <a href="https://www.us.jll.com/en/careers/candidate-privacy-statement" target="_blank" rel="noopener noreferrer">Candidate Privacy Statement</a>.For additional details please see our career site pages for each country.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 <a href="mailto:HRSCLeaves@jll.com" target="_blank" rel="noopener noreferrer">HRSCLeaves@jll.com</a>. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our <a href="https://www.us.jll.com/en/contact-us" target="_blank" rel="noopener noreferrer">Contact Us</a> 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 <a href="mailto:HRSCLeaves@jll.com" target="_blank" rel="noopener noreferrer">HRSCLeaves@jll.com</a>. Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página <a href="https://www.jll.com/es-mx/contact" target="_blank" rel="noopener noreferrer">Contáctanos</a> > Quiero trabajar para JLL.

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