Senior Data Engineer — Scale Pipelines & Architect Solutions

Style Analytics; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Time Off packages

Global Career Development

Social Events

Referral Bonus up to $3,000

Job summary

Confluence is hiring a Senior Data Engineer to design and deliver scalable data solutions that power decision-making across the organization. You will own key components of the data platform, working hands-on with modern tools to build reliable data pipelines.

You will collaborate across teams, contribute to architectural decisions, and mentor other engineers in a developer-focused role focused on solving complex data challenges with clean, maintainable code.

Qualifications

• Solid Python experience in a data engineering environment.
• Advanced SQL skills and hands-on experience with Snowflake.
• Experience designing and running production-grade ETL pipelines at scale.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Ability to take ownership of work end-to-end, from design through to deployment and monitoring.

Responsibilities

• Design and deliver scalable data solutions that power decision-making across the organization.
• Own key components of the data platform and build reliable data pipelines.
• Collaborate with cross-functional teams and mentor other engineers.
• Contribute to architectural decisions and engineering standards.

Skills

Python

SQL

Snowflake

ETL pipelines

Cloud platforms

Tools

Airflow

Job description

Confluence is hiring a Senior Data Engineer to design and deliver scalable data solutions that power decision-making across the organization. You will own key components of the data platform, working hands-on with modern tools to build reliable data pipelines.

You will collaborate across teams, contribute to architectural decisions, and mentor other engineers in a developer-focused role focused on solving complex data challenges with clean, maintainable code.