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Added 9 mins ago
C
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Added 24 mins ago
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Engineer - Payments
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Added 40 mins ago
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Added 40 mins ago
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Co-op DevOps - Winter 2027
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Added 40 mins ago
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Co-op Software Development Engineer in Test (SDET) - Winter 2027
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Added 54 mins ago
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Tangerine

Principal Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: 12+ years of data engineering industry experience with a minimum of 8 years designing data platforms for large, complex enterprise applications.
Posting language: English
Posted: Nov 3, 2026

Original job description

Requisition ID: 274894

At Tangerine, we’re redefining banking. As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of collaboration.

Our client-obsessed teams deliver flexible, accessible banking solutions, breakthrough products, and award-winning service. Beyond banking, we’re committed to making an impact in the communities we serve and across our organization. We foster a culture built on integrity, inclusion, and fearless ambition – where diverse perspectives are valued, and people are empowered to do their best work.

Are you ready to disrupt the status quo? Do you crave challenges that push boundaries? If you’re a high performer looking to accelerate your career and reimagine the banking landscape, this is your moment.

Let’s shape the future of banking together!

Leads and builds out a new data engineering platform for Tangerine to enable business analytics and production AI and ML applications, in support of business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

Is this role right for you? In this role, you will:

Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
Leads the design and implementation of the Tangerine data engineering strategy and platform, advising senior leadership and executing on the vision with senior architects and the development team.
Collaborates with data scientists, data analysts, and software engineers to understand user requirements and inform the design and development of data engineering features.
Hands on development on highly complex initiatives.
Champions a data design pattern and architecture that supports Tangerine business needs and collaborates with senior architects on pipeline design to support our architectural vision.
Mentors technical leads and high-potential data engineers by providing stretch-goals and feedback through design and code reviews.
Remains delivery focused and help the team to resolve technical impediments.
Influences product roadmap by working closely with product team and by providing technical insights and suggestions.
Champions application security best practices and ensure security-by-design in data access and processing. Work closely with security architecture and security advisory committee to ensure continued adherence to directives and all security practices.
Advances our testing processes including unit, integration, functional, non-functional and security testing.
Keeps up with innovation in the field of data and AI, enabling advancements around cloud, agentic AI, and production ML workloads.
Champions a high-performance environment and contributes to an inclusive work environment.
Understands how the Bank’s risk appetite and risk culture should be considered in dayto-day activities and decisions.
Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

Skills

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

12+ years of data engineering industry experience with a minimum of 8 years designing data platforms for large, complex enterprise applications.
Experience as a technical leader for large technology programs and initiatives
Knowledge of/or hands-on experience with data and data warehousing technologies
Experience shaping and communicating the design pattern to store, organize, process and prepare data for various business purposes
Experience building, architecting, designing, and implementing data pipelines to support multiple types of downstream needs, ranging from reporting and analytics to production ML inference pipelines and agentic workflows.
Experience designing and implementing public cloud-based applications on Google Cloud Platform and other cloud platforms (AWS, Azure)
Familiarity with DevOps practices and knowledge of enhancing CI/CD pipelines.
Excellent interpersonal, communication, and influencing skills with the ability to build and foster relationships with business partners, project stakeholders, strategic technology partners and external vendors.
Commitment to maintaining a diversified set of skills through continued education and mentoring peers and junior and senior team members.
Ability to collaborate across team and organizational boundaries, build relationships, and achieve broader organizational goals.
Experience working with 3rd party vendors including defining SLOs, limitations, security assessments, etc. to achieve business goals.

What's in it for you?

You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.
Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

Location(s): Canada : Ontario : Toronto

At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

Apply About employer

More about this job

Responsibilities

Lead the strategy, architecture, and hands-on development of Tangerine’s data engineering platform, building pipelines that support analytics, production machine learning, and agentic AI workloads. Mentor engineers, guide delivery and product decisions, advance testing and security practices, and ensure work aligns with business objectives and banking controls.

Requirements

Requires 12 or more years of data engineering experience, including at least 8 years designing data platforms for complex enterprise applications, along with technical leadership experience. Candidates should have expertise in data platforms and pipelines, public cloud platforms such as Google Cloud, AWS, or Azure, DevOps and CI/CD, and strong collaboration, communication, mentoring, and vendor-management skills.

Skills

Data Engineering
Data Platform Architecture
Data Warehousing
Data Pipeline Design
Google Cloud Platform
Amazon Web Services
Microsoft Azure
Cloud Computing
Machine Learning
Agentic AI
DevOps
CI/CD
Application Security
Testing
Technical Leadership
Vendor Management

Benefits

Pension
Benefits Program
Online And In-Person Courses
Workspace Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Engineering Platform
Business Analytics
Artificial Intelligence
Machine Learning
Agentic AI
Data Warehousing
Data Architecture
Data Design Patterns
Data Pipelines
Production ML Inference
Google Cloud Platform
Amazon Web Services
Microsoft Azure
Public Cloud
DevOps
CI/CD
Application Security
Security By Design
Unit Testing
Integration Testing
Functional Testing
Non-Functional Testing
Security Testing
Technical Leadership
Product Roadmap
Vendor Management
Service-Level Objectives
Banking
Risk Management

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