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A diverse financial institution in Toronto is seeking a Data Engineer to lead the development of a new data engineering platform. You will collaborate with data scientists, design complex data pipelines, and ensure adherence to security best practices. The ideal candidate has over 8 years of experience in data engineering and knowledge of cloud technologies. A strong focus on a customer-centric culture and teamwork is essential.
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.
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.
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.
8+ years of data engineering industry experience with a minimum of 6 years designing data platforms for large, complex enterprise applications.
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
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.