Staff Data Engineer

Jones Lang LaSalle Incorporated; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

JLL Bengaluru is hiring a Staff Data Engineer to drive enterprise-wide data engineering standards and AI innovation. You will lead cross-functional teams and own end-to-end product development for data platforms, shaping the technology strategy in real estate tech.

The role requires 8–12 years of experience, strong Python and Azure skills, and a track record of strategic leadership across engineering, product, and business units.

Qualifications

• Bachelor’s or Master’s degree in CS, IS, Math or related field.
• 8–12 years of progressive experience in data engineering with leadership impact.
• Experience defining technology strategy and leading digital transformation initiatives.
• Proven enterprise-wide technical leadership and strategic technology implementation.

Responsibilities

• Define and implement enterprise-wide data engineering standards and best practices.
• Design AI innovation frameworks that guide technology adoption.
• Align data technology strategy with corporate objectives and market trends.
• Lead digital transformation initiatives through strategic data engineering solutions.
• Develop technology roadmaps aligned with business strategy and market trends.

Skills

Python

Full-stack

Azure

Data modeling

AI frameworks

Education

CS/IS/Math degree

Tools

Azure

Python

Job 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

Weekly Hours

40

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Equal Opportunity Employer

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 [e-mail]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page.

Additional Information

At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each of us unique. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world. For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500® company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit jll.com.