Senior Databricks Data Engineer — Lakehouse

Senior Data Engineer needed in Toronto to build and optimize data pipelines on Databricks, using Python, Spark, and AWS for financial data insights.

Junior Data Engineer wanted for a financial firm in Toronto to build and manage data platforms, focusing on ETL/ELT optimization and data governance in a hybrid setting.

Seeking a Junior Data Engineer for a global financial services provider in Toronto. Responsibilities include developing data pipelines on Databricks and collaborating with teams. Requires Python and cloud experience.

Senior Data Engineer needed to design and implement scalable data architectures, optimize data pipelines, and maintain data governance. Requires 6+ years experience, SQL, Databricks, and data modeling.

Seeking a Senior Data Engineer to design and implement scalable data architectures, optimize data pipelines, and maintain data governance. Requires 6+ years of experience, SQL, and Databricks.

Junior Data Engineer needed for a financial services firm in Toronto to build and manage data pipelines on Databricks, optimize ETL/ELT, and ensure data governance in a hybrid setting.

Junior Data Engineer sought by a financial services firm in Toronto to build and optimize data pipelines on Databricks and AWS, requiring 1+ year experience with Python, Spark, and AWS.

Seeking a Senior Data Engineer to build and operate data pipelines and Lakehouse models in a hybrid environment using Python, SQL, Azure, and Databricks.

Seeking a Senior Data Engineer to design and maintain scalable data platforms using Azure Fabric, Databricks, and Snowflake. Responsibilities include building data pipelines and ensuring data quality.