Senior Data Engineer: Build Scalable Data Pipelines

Style Analytics; Montreal (administrative region); Hybrid; CAD 90,000 - 140,000; Full time

Benefits offered by this job

Referral Bonus scheme - Upto $3,000

Job summary

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

You will collaborate with cross-functional teams, influence architectural decisions, and mentor fellow engineers while maintaining a strong focus on clean, maintainable code in a developer-focused role.

Qualifications

• Solid Python experience in a data engineering environment.
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• Advanced SQL skills and hands-on experience with Snowflake.
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• Experience designing and running production-grade ETL pipelines at scale.
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• Exposure to cloud platforms such as AWS, Azure, or GCP.
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• 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.
• Take ownership of key components of the data platform, working hands-on with modern tools.
• Collaborate with teams across the business and mentor other engineers.

Skills

Python

SQL

Snowflake

ETL pipelines

Cloud platforms

End-to-end ownership

Airflow

AWS Step Functions

Tools

Airflow

AWS Step Functions

Job description

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

You will collaborate with cross-functional teams, influence architectural decisions, and mentor fellow engineers while maintaining a strong focus on clean, maintainable code in a developer-focused role.