Senior Data Engineer

📋 Description

• Develop and optimize data pipelines: Build, maintain, and improve data transformation workflows
• Create and maintain data models: Apply advanced SQL skills to develop, test, and optimize dbt
• Manage workflow orchestration: Configure and maintain Airflow tasks and schedules, monitor pipeline
• Collaborate with stakeholders: Work closely with business teams to identify data-driven
• Support data engineering initiatives: Partner with fellow engineers to design and implement data
• Deliver actionable insights: Conduct data analyses, interpret findings, and present clear

🎯 Requirements

• Education: A university degree in Computer Science, Statistics, Business, or a related discipline.
• Professional experience: At least 4 years of experience in data engineering or analytics
• Technical expertise: Hands-on experience with BigQuery, dbt, Airflow, Python, and relational
• SQL proficiency: Strong SQL skills and experience developing, maintaining, and optimizing data
• Data workflow management: Familiarity with orchestrating scheduled data workflows, troubleshooting
• Analytical capabilities: Strong problem-solving and analytical skills, with the ability to

🎁 Benefits

• Competitive compensation: Annual base salary range of CAD $130,000–$175,000, depending on
• Comprehensive benefits: Access to a broad benefits package designed to support physical, financial
• Bonus opportunities: Eligible employees in non-sales positions may qualify for bonuses under
• Professional development: Education and conference reimbursement to support continued learning and
• Career advancement: Opportunities to progress professionally, expand your expertise, and take on
• Mentoring opportunities: The chance to support colleagues' development and contribute to a strong