Senior Data Engineer (Databricks & Azure)

BDO Canada; Winnipeg; On-site; CAD 110,000 - 150,000; Full time

Job summary

BDO Canada is seeking an experienced Senior Data Engineer (Databricks focused) to lead data engineering initiatives within the Digital/Technology Advisory practice. You will design, implement, and optimize scalable data pipelines on Databricks and Azure, ensuring quality, security, and production-readiness while guiding client engagements.

You will mentor teammates, translate business needs into robust data architectures, and collaborate across teams to deploy analytics solutions on cloud

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or closely related discipline.
• Minimum 5 years hands-on data engineering experience, including at least 3 years with Databricks, Spark, and cloud data platforms.
• Strong knowledge of Microsoft Azure including Azure Data Lake, Databricks, Synapse, and Azure DevOps.

Responsibilities

• Design, build, and optimize robust data pipelines using Databricks, Delta Lake, and Apache Spark.
• Develop scalable ETL processes for structured and unstructured data with data quality.
• Implement data integration across cloud and on-premises sources using Databricks and Azure Data Lake.
• Automate data ingestion, transformation, and validation workflows.
• Monitor, troubleshoot, and improve pipeline performance and reliability.
• Ensure security, compliance, and operational excellence across data workflows.

Skills

Databricks

Apache Spark

Delta Lake

Azure Data Lake

Azure Synapse

Azure DevOps

Python

Scala

CI/CD

GitHub Actions

Terraform

ARM templates

Jenkins

Education

Bachelor’s or Master’s in Computer Science or Data Engineering

Tools

Terraform

ARM templates

Jenkins

Job description

BDO Canada is seeking an experienced Senior Data Engineer (Databricks focused) to lead data engineering initiatives within the Digital/Technology Advisory practice. You will design, implement, and optimize scalable data pipelines on Databricks and Azure, ensuring quality, security, and production-readiness while guiding client engagements.

You will mentor teammates, translate business needs into robust data architectures, and collaborate across teams to deploy analytics solutions on cloud