3 months ago
Remote, Canada or Toronto, CanadaSenior

Responsibilities

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

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or a related quantitative discipline.
  • 5–8 years of data engineering experience with technical leadership and enterprise-scale solution delivery.
  • Expert Python programming skills, including inheritance, reflection, metaprogramming, and advanced design patterns.
  • Deep proficiency with Azure data services, including Databricks, Azure Functions, and Event Hubs.
  • Advanced expertise in relational database design, star schema modeling, and data warehousing.
  • Experience implementing enterprise-scale AI-powered solutions and automation frameworks.
  • Experience mentoring engineers and influencing technical strategy.
  • Preferred: Master’s degree in Computer Science, Data Science, or a related technical discipline.
  • Preferred: Expertise in Apache Spark, PySpark, Kafka, distributed computing, microservices architecture, full-stack data solutions, system design, data visualization, and technical storytelling.

Benefits

  • Remote position based in Toronto, Ontario.
  • Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation.

Categories

Data Engineering
Jones Lang LaSalle Incorporated

About Jones Lang LaSalle Incorporated

10,000+ employees

JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).

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