Senior Data Engineer

Confluence Technologies, Inc.; Toronto; Sur place; CAD 80 000 - 110 000; Plein temps

Avantages offerts par ce poste

Generous time off packages

Global career development opportunities

Social events

Referral bonus scheme – up to $3,000

Résumé du poste

Confluence Technologies, Inc. is looking for a Senior Data Engineer in Toronto to design and deliver scalable data solutions that enhance decision-making across the organization. You will take ownership of key components of the data platform and work with modern tools to build reliable data pipelines.

The successful candidate will have solid experience in Python and SQL, as well as experience designing ETL pipelines. This role offers the opportunity to influence architectural decisions and support junior engineers.

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.

Responsabilités

• Work on meaningful data challenges that have real business impact.
• Collaborate with a supportive and knowledgeable team.
• Opportunity to influence architecture and engineering standards.
• Grow your leadership skills through mentoring and project ownership.

Connaissances

Python

SQL

Snowflake

ETL pipelines

AWS

Azure

GCP

Airflow

AWS Step Functions

Description du poste

Senior Data Engineer

Department: Development - Software Development

Employment Type: Permanent - Full Time

Location: Toronto

Reporting To: Andrew Rawnsley

Team and Role

We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision‑making across the organization. In this role, you’ll take ownership of key components of the data platform, working hands‑on with modern tools and technologies to build reliable, high‑quality data pipelines. You’ll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer‑focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code.

Key Responsibilities

• Work on meaningful data challenges that have real business impact
• Collaborate with a supportive and knowledgeable team
• Opportunity to influence architecture and engineering standards
• Grow your leadership skills through mentoring and project ownership

Skills and Experience

• 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

• Experience working 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

Benefits

• Generous time off packages, including additional half days with each public holiday in your location
• Global career development opportunities
• Social events
• Referral bonus scheme – up to $3,000 per successful referral
• Plus many more