Senior Data Engineer

North American Centre, 5700 Yonge St, North York, ON M2N 5M9, Canada

Questrade Financial Group (QFG) , through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more. We use cutting-edge technology to help Canadians become much more financially successful and secure.

At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work.

Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits. If you share this sense of infinite possibility, come shape your future at QFG.

Health & wellbeing resources and programs

Paid vacation, personal, and sick days for work-life balance

Competitive compensation and benefits packages

Work-life balance in a hybrid environment with at least 3 days in office

Career growth and development opportunities

Opportunities to contribute to community causes

Work with diverse team members in an inclusive and collaborative environment

The Senior Data Engineer is a key technical contributor responsible for building and scaling the Flexiti Self-Serve Data Platform. This role focuses on the hands‑on execution of our Data Fabric and Data Mesh architectures, ensuring that data is accessible, secure, and ready for advanced Agentic AI applications. You will bridge the gap between raw data and business value by developing high‑performance Data Products that accelerate business decisions and generate revenue.

As a Senior Data Engineer, you will design and implement the technical capabilities that power our decentralized engineering model. You will lead the transition from manual coding to AI‑augmented workflows, leveraging Generative AI for code generation and testing. Operating in a "Forward‑deployed Engineer" capacity, you will often embed within business units to solve complex data challenges directly at the source.

Pipeline Development:
Build and maintain scalable data pipelines using Spark and Databricks to unify structured and unstructured data across AWS / GCP and other cloud‑native data platforms.

Self‑Service Tooling:
Develop the "Data Producer" and "Data Exchange" interfaces that allow business units to share and consume data autonomously.

Infrastructure as Code (IaC):
Implement platform guardrails and deployment patterns using Policy as Code and IaC Factory patterns.

Fin Ops Optimization:
Write highly efficient code and monitor compute patterns to maximize ROI and minimize cloud consumption costs.

Agentic AI Support:
Build the underlying data infrastructure required to operationalize autonomous data agents and next‑generation analytics.

AI‑Augmented Engineering:
Lead by example in adopting prompt engineering and GenAI tools to automate documentation, testing, and code refactoring.

Data Quality:
Implement AI/ML‑based monitoring tools for proactive anomaly detection and self‑correcting data quality workflows.

Built‑in Security:
Ensure every pipeline meets rigorous financial regulatory standards by integrating security and compliance features directly into the build process.

Metadata Management:
Contribute to the design and maintain the Enterprise Data Catalog & Data Exchange to ensure data is discoverable and well‑documented across all business lines.

Consultative Leadership:
Partner with Product Owners and business stakeholders to translate complex engineering requirements into actionable business outcomes.

Cloud Platforms:
Extensive experience scaling data solutions on Hyperscalers, with a strong preference for GCP .

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