Senior Data Engineer: Build Scalable Pipelines & Lead

Confluence Technologies, Inc.; Montreal (administrative region); Hybrid; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Generous Time Off

Global Career Development

Social Events

Referral Bonus up to $3,000

Job summary

Confluence Technologies, Inc. in Montreal is seeking a Senior Data Engineer to design and deliver scalable data solutions powering 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. Collaborate with multiple teams, mentor fellow engineers, and influence architecture and engineering standards in a hybrid work setting.

Qualifications

• Strong Python experience in a data engineering environment.
• Advanced SQL skills and Snowflake experience.
• Experience designing and running production-grade ETL pipelines at scale.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Ability to take ownership end-to-end from design through deployment and monitoring.
• Experience with financial or regulated data environments.
• Familiarity with orchestration tools such as Airflow or AWS Step Functions.
• Exposure to streaming or near real-time data pipelines.

Responsibilities

• Design and deliver scalable data solutions powering decision-making across the organization.
• Own key components of the data platform; mentor and share knowledge with other engineers.
• Collaborate with teams, influence architecture and engineering standards, and grow leadership through project ownership.

Skills

Python

SQL

ETL pipelines

Cloud platforms

Tools

Snowflake

Airflow

AWS Step Functions

Job description

Confluence Technologies, Inc. in Montreal is seeking a Senior Data Engineer to design and deliver scalable data solutions powering 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. Collaborate with multiple teams, mentor fellow engineers, and influence architecture and engineering standards in a hybrid work setting.