Senior Data Engineer

Scotiabank; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution is seeking a Senior Data Engineer specializing in Google Cloud Platform. This role involves designing scalable data pipelines and working collaboratively with diverse teams to drive insights and AI capabilities. The ideal candidate should have 7+ years in data engineering with deep expertise in GCP tools including BigQuery and Airflow. Competitive benefits and a commitment to diversity are part of the package.

Benefits

Upskilling opportunities

Flexible vacation

Bonus program

Community engagement programs

Qualifications

• Experience designing scalable ETL/ELT frameworks.
• Exposure to machine learning pipelines and integration with AI/ML platforms.
• Familiarity with infrastructure as code.

Responsibilities

• Design and build scalable data pipelines using GCP tools.
• Monitor, troubleshoot, and optimize pipeline performance.
• Partner with teams to design data solutions that power business insights.

Skills

Google Cloud Platform (GCP)

Airflow

BigQuery

SQL

Python

Data modeling

CI/CD pipelines

Data governance

Problem-solving skills

Machine learning

Education

7+ years of experience as a Data Engineer

3+ years building in GCP environments

Tools

DBT

Terraform

Cloud Composer

Looker

Job description

Requisition ID: 239634

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

We are seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing Engineering team. You will play a critical role in designing, building, and optimizing scalable data pipelines and platforms that power advanced analytics, personalization, and AI/ML capabilities across the organization.

Responsibilities

• Design & Build Data Pipelines
  • Develop, maintain, and optimize scalable, secure, and reliable data pipelines using Airflow, DBT, BigQuery, and other GCP‑native tools.
  • Implement real‑time and batch data ingestion from diverse internal and external sources.
• Data Modeling & Transformation
  • Build robust data models that enable analytics, personalization, and reporting use cases.
  • Apply best practices for data quality, lineage, and governance.
• Cloud‑Native Architecture
  • Architect and optimize data solutions leveraging GCP services (BigQuery, Pub/Sub, Dataflow, Dataproc, Cloud Composer, Cloud Storage).
  • Implement CI/CD pipelines for data workflows, ensuring automation and repeatability.
• Collaboration & Enablement
  • Partner with product, data science, and analytics teams to design data solutions that power business insights and ML models.
  • Provide technical mentorship to junior engineers and establish best practices in cloud data engineering.
• Operational Excellence
  • Monitor, troubleshoot, and optimize pipeline performance.
  • Ensure compliance with data privacy, security, and regulatory requirements.

Qualifications

• 7+ years of experience as a Data Engineer, with at least 3+ years building in GCP environments.
• Deep hands‑on experience with:
  • BigQuery (query optimization, partitioning, clustering, cost management)
  • DBT (modular data transformation, testing, documentation)
  • Airflow / Cloud Composer (workflow orchestration, DAG design, scheduling)
• Strong background in SQL and at least one programming language (Python preferred).
• Experience designing scalable ETL/ELT frameworks, real‑time streaming, and batch processing.
• Solid understanding of data modeling, data governance, and data quality frameworks.
• Experience with CI/CD pipelines and version control (Git).
• Strong problem‑solving skills and ability to operate in ambiguous, fast‑paced environments.
• Exposure to machine learning pipelines and integration with AI/ML platforms.
• Experience with other GCP services: Dataflow, Dataproc, Pub/Sub, Looker.
• Familiarity with infrastructure as code (Terraform, Cloud Deployment Manager).
• Financial services, marketing technology, or personalization experience.

Benefits

• Diversity, Equity, Inclusion & Allyship – an inclusive culture where every employee is empowered to reach their fullest potential.
• Accessibility and Workplace Accommodations – a fully accessible environment for everyone.
• Upskilling opportunities through online courses, cross‑functional development, and tuition assistance.
• Competitive rewards: bonus, flexible vacation, personal and sick days, and benefits start day one.
• Community Engagement – opportunities for community engagement and belonging across various programs.

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. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. 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.