Join FP Inc. as a Data Engineer focusing on SQL, Python, and Airflow. This hybrid position in Downtown Toronto enables you to support operations at one of Canada's leading financial institutions. In this 7-month role, you will leverage your 5-7 years of SQL experience and 3-4 years with Airflow and Python to drive continuous improvements within data operations.

You'll be integral in building ETL/ELT pipelines while collaborating with business teams to provide actionable insights and ensure data quality. Key Responsibilities:

- Lead data inquiries and support user requests
- Implement automation to optimize workflows
- Partner with analysts to provide accessible data
- Maintain scalable data architectures and pipelines
- Conduct automated testing for quality assurance Requirements:
- Advanced SQL expertise (5-7 years)
- 3-4 years of experience in workflow orchestration
- Proficiency in Python for data pipelines
- Experience with cloud platforms like GCP or AWS
- Understanding of dbt and modern data tools Contribute to creative data solutions for a top bank while advancing your technical skills.

📌 Hybrid Data Engineer for Canada's Top Bank (Toronto)
🏢 Finance Professionals
📍 Toronto