Analytics Engineer, Global Analytics Operations

Scotiabank; Toronto; On-site; CAD 100,000 - 160,000; Full time

Job summary

Scotiabank is seeking an Analytics Engineer to join the Global Analytics Operations team in Toronto. You will help maintain, stabilize, and improve cloud-based data platforms to empower data-driven decisions across the bank.

You will own data pipelines, collaborate with data scientists, and implement scalable improvements using modern tools like dbt and Apache Airflow while ensuring data quality and governance.

Qualifications

• Bachelor’s or Graduate degree in Computer Science, Engineering, or related field (or equivalent experience)
• Strong experience in SQL (advanced to expert level), Python, and ETL/ELT pipeline development
• Hands-on experience with cloud platforms (GCP, AWS, or Azure) and modern data stack tools (including dbt)
• Experience with workflow orchestration tools such as Apache Airflow
• Solid understanding of data warehousing concepts and dimensional modeling
• Knowledge of the banking/finance domain and data governance practices is an asset
• A high-performing, detail-oriented, and proactive mindset with strong ownership in handling user requests and troubleshooting issues, and driving continuous improvement initiatives

Responsibilities

• Support operational excellence through monitoring, incident management, and continuous process improvement
• Own user requests and data inquiries while actively experimenting, learning, and driving continuous improvement in day-to-day operations
• Proactively identify gaps and implement scalable improvements, including new analytical patterns and automation to optimize workflows
• Support analysts and data scientists with reliable, timely, and accessible data, while using AI/agent-based solutions to automate and optimize time-consuming processes
• Partner with business teams to understand data needs and deliver actionable insights to management and stakeholders
• Build and maintain scalable data models and ETL/ELT pipelines
• Maintain data quality through automated testing, monitoring, and proactive issue resolution
• Apply data governance, security, and documentation standards across pipelines and architecture

Skills

SQL

Python

ETL/ELT pipelines

dbt

Apache Airflow

Cloud platforms (GCP/AWS/Azure)

Data warehousing concepts

Dimensional modeling

Education

Bachelor’s or Graduate degree in Computer Science, Engineering, or related field

Tools

dbt

Apache Airflow

Job description

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Title: Analytics Engineer, Global Analytics Operations

Requisition ID: 265733

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Team:

The Global Analytics Operations team at Scotiabank is focused on maintaining, stabilizing, and improving cloud-based data platforms so the bank can make data-driven decisions. The team combines strong expertise in data engineering, analytics, and computer science to deliver scalable, reliable solutions. With a strong focus on operational excellence, it drives high pipeline reliability, proactive monitoring, and timely issue resolution while continuously enhancing processes, improving user experience, and introducing new analytical patterns through close collaboration with cross-functional partners.

Would this role be a fit for you?

• Support operational excellence through monitoring, incident management, and continuous process improvement
• Own user requests and data inquiries while actively experimenting, learning, and driving continuous improvement in day-to-day operations .
• Proactively identify gaps and implement scalable improvements, including new analytical patterns and automation to optimize workflows
• Support analysts and data scientists with reliable, timely, and accessible data, while using AI/agent-based solutions to automate and optimize time-consuming processes
• Partner with business teams to understand data needs and deliver actionable insights to management and stakeholders
• Build and maintain scalable data models and ETL/ELT pipelines
• Maintain data quality through automated testing, monitoring, and proactive issue resolution
• Apply data governance, security, and documentation standards across pipelines and architecture

Do you have the skills needed to succeed in this role?

• Bachelor’s or Graduate degree in Computer Science, Engineering, or related field (or equivalent experience)
• Strong experience in SQL (advanced to expert level), Python, and ETL/ELT pipeline development
• Hands‑on experience with cloud platforms (GCP, AWS, or Azure) and modern data stack tools (including dbt)
• Experience with workflow orchestration tools such as Apache Airflow
• Solid understanding of data warehousing concepts and dimensional modeling
• Knowledge of the banking/finance domain and data governance practices is an asset
• A high-performing, detail-oriented, and proactive mindset with strong ownership in handling user requests and troubleshooting issues, and driving continuous improvement initiatives

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.

If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.

We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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