Staff Data Engineer

JLL; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JLL in Bengaluru seeks a Staff Data Engineer to own end-to-end data platforms and drive AI-enabled transformation. You will set enterprise data engineering standards, define strategy, and lead cross-functional teams across product, engineering, and business units.

The role requires 8–12 years of data engineering leadership, strong Python, Azure, and data modeling skills, and a track record of delivering enterprise-scale data solutions that enable strategic decision-making and competitive

Qualifications

• 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.

Responsibilities

• 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.
• Make critical technology decisions that impact enterprise-scale data architecture and strategy.
• Design and oversee complex data initiatives with enterprise-wide scope and impact.

Skills

Python

Azure services

Data modeling

Full-stack development

AI frameworks

Cloud platforms

Education

Bachelor's or Master's degree in CS/IS/Math/Stats or related field

Tools

Azure services

AI frameworks

Job description

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.