Data Engineer

Scotiabank • Toronto, ON

5d • Onsite

About The Position

Contributes to the overall success of Global Finance Technology and the Finance & Risk Data Platform (FRDP) by executing data engineering tasks that support data ingestion, transformation, quality, and publishing services. Ensures all activities are conducted in compliance with governing regulations, internal policies, and procedures, with a focus on reliability and data integrity.

Requirements

• 2–3 years of experience
• minimum of 1 year experience in data engineering
• Strong SQL skills
• working knowledge of Python
• Exposure to data processing frameworks and reporting tools (e.g., Power BI)
• Familiarity with data warehouse or data lake concepts
• Data Processing: SQL, Spark, Python
• Ingestion: NiFi (or equivalent)
• Storage: Object Storage/ data lake concepts; working knowledge of RDBMS
• Visualization: Power BI

Responsibilities

• Develop and maintain data pipelines using established FRDP frameworks (e.g., NiFi, SQL, Python)
• Implement ingestion, transformation, and publishing logic based on defined solution designs
• Support onboarding of new data feeds into FRDP data platform
• Execute data quality checks, reconciliation controls, and validation rules
• Investigate data discrepancies and support defect resolution
• Ensure adherence to established data governance, lineage, and audit requirements
• Publish Data Quality Report using Power BI
• Collaborate with senior engineers and team members to deliver assigned tasks
• Follow coding standards, CI/CD practices, and documentation requirements
• Proactively identify opportunities to improve pipeline reliability and efficiency

Benefits

• Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
• Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits will start on day one.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed