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.
What this job involves:
As a Data Developer in JLLT, you will utilize AI, automation, and domain expertise to develop enterprise data solutions that drive strategic business value. You’ll translate business needs into technical requirements while demonstrating strategic awareness of how data engineering supports organizational objectives.
Working with intermediate to advanced technical skills, you’ll solve medium to high complexity data problems and collaborate with senior engineers on strategy execution. This role focuses on building production-ready data pipelines, expanding CI/CD capabilities, and delivering solutions that impact scrum team deliverables while communicating effectively with cross-functional stakeholders.
This role has flexibility to work remotely at times and candidates may be required to work outside of standard business hours on occasion to support global employees and times zones.
What your day-to-day will look like:
Advanced Data Pipeline Development
Design and implement complete ETL/ELT workflows using intermediate to advanced techniques
Build and modify CI/CD pipelines for data processing workflows
Develop native data ingestion capabilities from various sources (APIs, databases, file systems)
Implement data validation, error handling, and monitoring in production pipelines
AI & Automation Integration
Incorporate AI and automation patterns into data engineering solutions
Develop solutions that leverage automation for improved efficiency and scalability
Apply intermediate Python techniques including decorators, generators, and design patterns
Build reusable components and frameworks for team use
Cross-functional Collaboration
Translate business requirements into technical data engineering solutions
Collaborate with product managers, analysts, and other stakeholders on data needs
Participate actively in scrum/agile development processes
Provide technical expertise to support strategic decision-making
Data Architecture & Design
Apply data modeling principles and data warehousing concepts
Design database schemas and data integration patterns
Work with cloud services (Azure/AWS/GCP) for scalable data solutions
Optimize data storage and retrieval for performance and cost
Required Qualifications:
Experience & Education
Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
3+ years of experience in data engineering, data development, or related technical field
Proven experience building ETL/data pipelines in production environments
Experience with agile development methodologies and cross-functional teams
Technical Skills & Competencies
Programming: Intermediate Python skills including decorators, generators, object-oriented programming
SQL: Solid SQL proficiency with query optimization and performance tuning experience
Data Engineering: Experience with data orchestration platforms (Airflow, Azure Data Factory, SSIS, or similar)
Big Data: Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks
Cloud Platforms: Hands-on experience with Azure, AWS, or GCP data services (Databricks, Azure Functions, Delta Lake, etc.)
Data APIs & Semantic Layer: Familiarity with semantic layer tools (CubeJS or similar) for data access and analytics
CI/CD: Understanding of continuous integration/deployment for data pipelines
Design Patterns: Knowledge of software design patterns and their application in data engineering
AI/Automation: Basic understanding of AI/automation tools and their integration into data workflows
Core Competencies Assessment
Technical Skills (40%): Built ETL/data pipelines, production experience, CI/CD knowledge, AI/automation awareness
Problem-Solving (25%): Production pipeline experience, architecture basics, scalability awareness
Communication (20%): Agile team experience, stakeholder communication, cross-functional work
Learning & Growth (15%): AI/automation project exposure, learning track record, business understanding
Estimated compensation for this position:
120,000.00 – 140,000.00 CAD per year
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
On-site –Toronto, ON
Opening Type:
New Role
If 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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Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
