Data Engineer II: Cloud Pipelines & Spark

JLL; Toronto; On-site; CAD 90,000 - 100,000; Full time

Job summary

JLL is hiring a Data Engineer P2 in Toronto to design, develop, and maintain scalable cloud-based data infrastructure. You will collaborate with cross-functional teams to deliver robust data pipelines, quality data, and reliable analytics capabilities across global business units.

The role emphasizes SQL, PySpark, and Databricks in a fast-paced environment. Ideal candidates have 3–5 years in data engineering or full-stack development within cloud-based contexts, with strong testing and CI/CD

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s degree preferred).
• 3–5 years of experience in data engineering or full-stack development, with a focus on cloud-based environments.

Responsibilities

• Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark.
• Collaborate with cross-functional teams to understand data requirements and ingestion architecture.
• Design and implement data pipelines from sources to data lakes/warehouses and analytics platforms.

Skills

Python

SQL

PySpark

Databricks

REST

CI/CD

Testing

Education

Bachelor’s degree in Computer Science or Data Engineering

Master’s degree preferred

Tools

AWS

Azure

GCP

BigQuery

Job description

JLL is hiring a Data Engineer P2 in Toronto to design, develop, and maintain scalable cloud-based data infrastructure. You will collaborate with cross-functional teams to deliver robust data pipelines, quality data, and reliable analytics capabilities across global business units.

The role emphasizes SQL, PySpark, and Databricks in a fast-paced environment. Ideal candidates have 3–5 years in data engineering or full-stack development within cloud-based contexts, with strong testing and CI/CD