Data Engineer Jobs

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Senior Data Engineer

JLL
Remote

About The Position

As a Senior Data Engineer at JLL, you will leverage advanced technical expertise and enterprise-focused thinking to drive AI-powered automation that achieves strategic business objectives. This role positions you as a technical leader who mentors team members, shapes business and regulatory requirements, and architects innovative data solutions that deliver measurable organizational value. You'll design cutting-edge automated frameworks, develop platform features with cross-functional alignment, and use compelling storytelling to build consensus across diverse stakeholder groups—all while significantly impacting JLL's Data Engineering strategy and the future of real estate technology.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
  • 5-8 years of experience in data engineering with proven track record of technical leadership and enterprise-scale solution delivery
  • Expert Python programming skills including inheritance, reflection, meta-programming, and advanced design patterns
  • Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs) and cloud-native architecture
  • Advanced expertise in relational database design, star schema modeling, and data warehousing concepts
  • Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale
  • Demonstrated experience mentoring engineers and influencing technical strategy with measurable impact

Nice To Haves

  • Master's degree in Computer Science, Data Science, or related technical discipline
  • Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts
  • Experience with microservices architecture and full-stack data solution development
  • Strong system design and architecture skills for complex, cross-functional data platforms
  • Track record of driving process improvement and technical innovation in enterprise environments
  • Advanced data visualization and storytelling skills for building stakeholder consensus
  • Experience leading strategic data engineering initiatives that shape organizational direction

Responsibilities

  • Design and build advanced reusable and automated frameworks for enterprise-scale data processing and analytics
  • Architect comprehensive data solutions integrating multiple Azure services, AI capabilities, and cloud technologies aligned with strategic business goals
  • Lead complex technical problem-solving initiatives, root cause analysis, and strategic decision-making for critical data systems
  • Mentor junior and intermediate data engineers on advanced concepts, best practices, and emerging technologies
  • Collaborate with senior stakeholders to influence business requirements and align technical solutions with enterprise objectives
  • Develop AI-powered solutions and automation frameworks that drive measurable business outcomes
  • Champion data engineering best practices, standards, and innovation across the organization through thought leadership

Benefits

  • Estimated compensation for this position: 141,600.00 – 177,000.00 CAD per year

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