Staff Data Engineer
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Aug 21, 2026. Jones Lang LaSalle scores A on the Alion truth index.
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, KAScheduled Weekly Hours:
40If 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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