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 workplace
- 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
📌 Senior Data Engineer (Toronto)
🏢 Confluence Technologies
📍 Toronto
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