Senior Data Engineer

Jones Lang LaSalle Americas, Inc.

. Design and build advanced reusable and automated frameworks for enterprise-scale data processing and analytics .

Posted 5/21/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$141,600 - CA$177,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheAzureCloudKafkaMicroservicesPySparkPythonSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Jones Lang LaSalle Americas, Inc. Website LinkedIn All Job Openings 10,000+ employees We provide commercial real estate services for corporations and investors across the globe that save money, increase productivity and improve sustainability. Senior Data Engineer Job not on LinkedIn 🔥 26 minutes ago 🇨🇦 Canada – Remote 💵 $141.6k - $177k / year ⏰ Full Time 🟠 Senior 🚰 Data Engineer Apache Azure Cloud Kafka Microservices PySpark Python Spark Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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 🎯 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
Master's degree in Computer Science, Data Science, or related technical discipline (preferred)
Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts (preferred)
Experience with microservices architecture and full-stack data solution development (preferred)
Strong system design and architecture skills for complex, cross-functional data platforms (preferred)
Track record of driving process improvement and technical innovation in enterprise environments (preferred)
Advanced data visualization and storytelling skills for building stakeholder consensus (preferred)
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Hard Skills & Tools

PythonAzure data servicesDatabricksAzure FunctionsEvent Hubsrelational database designstar schema modelingdata warehousingApache SparkPySpark

Soft Skills

technical leadershipmentoringinfluencingproblem-solvingstrategic decision-makingcollaborationthought leadershipprocess improvementinnovationstorytelling

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Information SystemsBachelor's degree in MathematicsBachelor's degree in StatisticsMaster's degree in Computer ScienceMaster's degree in Data Science