JLL—Staff Data Engineer

Job description

Description: 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 Staff Data Engineer, you will demonstrate expert skills across all data technologies while defining and aligning technology strategy with corporate goals and marketplace advances. You’ll set enterprise-wide data engineering standards and establish AI innovation frameworks that drive digital transformation across the organization. Leading technology teams inclusively, you’ll make critical technical decisions that impact enterprise-wide Data Engineering strategy. This role requires full ownership of complex initiatives and end-to-end product development while serving as a subject matter expert across multiple disciplines and facilitating high-level cross-functional collaboration. Responsibilities: Enterprise Technology Leadership - Define and implement enterprise-wide data engineering standards and best practices - Design comprehensive AI innovation frameworks that guide organizational technology adoption - Align data technology strategy with corporate objectives and emerging marketplace trends - Lead digital transformation initiatives through strategic data engineering solutions Strategic Architecture & Innovation - Make critical technology decisions that impact enterprise-scale data architecture and strategy - Design and oversee complex data initiatives with enterprise-wide scope and impact - Drive end-to-end product development for strategic data platforms and solutions - Identify and implement innovative technologies that provide competitive advantages Organizational Leadership - Lead technology teams inclusively while fostering innovation and technical excellence - Serve as subject matter expert across multiple data engineering disciplines - Facilitate cross-functional collaboration between engineering, product, business, and executive teams - Influence senior leadership on data strategy, technology investments, and strategic direction Technology Vision & Strategy - Develop comprehensive technology roadmaps aligned with business strategy and market trends - Evaluate and integrate emerging technologies, particularly in AI, automation, and cloud-native solutions - Drive adoption of advanced data engineering practices across the enterprise - Champion innovation culture and technical excellence throughout the organization Qualifications Experience & Education - Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related field - 8-12 years of progressive experience in data engineering with demonstrated leadership impact - Proven track record of enterprise-wide technical leadership and strategic technology implementation - Experience defining technology strategy and leading digital transformation initiatives Technical Skills & Competencies - Expert Technical Skills: Master-level expertise in Python, full-stack development, Azure services, and advanced data modeling - Strategic Architecture: Proven ability to design and implement enterprise-scale data architecture and solutions - AI/Automation Leadership: Deep expertise in AI frameworks, automation platforms, and their strategic implementation - Technology Strategy: Experience aligning technology roadmaps with business strategy and market trends - Innovation Leadership: Track record of identifying, evaluating, and implementing innovative technology solutions - Cross-Platform Expertise: Deep knowledge across multiple cloud platforms and data technology stacks Core Competencies Assessment - Technical Skills : Expert-level skills, full-stack mastery, Azure expertise, AI framework experience - Problem-Solving: Enterprise standards definition, AI framework design, technology strategy, strategic architecture - Communication: Enterprise-wide impact, AI framework leadership, multi-discipline SME, organizational transformation - Learning & Growth: Technology strategy experience, ROI analysis capability, business alignment What we can do for you: You’ll join the senior leadership team driving the technical vision and strategy for data engineering across JLL Technologies. This role offers the opportunity to shape the future of real estate technology through strategic leadership, innovation, and enterprise-scale impact while mentoring senior technical talent. Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. Join us to define the future of data engineering in real estate technology while leading digital transformation initiatives that create competitive advantages and drive organizational success. Location: On-site –Bengaluru, KA Scheduled Weekly Hours: 40 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. JLL Privacy Notice 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. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. 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 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.