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Added 21 hours ago
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Laser Designer
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- Full-time
…Ranovus in Ottawa, suited to a recent PhD graduate or an engineer with up to 3 years of industry…
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- Full-time
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Added 22 hours ago
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Software Automation Developer
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- Full-time
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Senior Test Engineer
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Canada
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Senior Specialist Software Engineering
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Toronto, ON · Greater Toronto Area, ON
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DevOps Engineer , Mississauga, ON
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Added 23 hours ago
Technology - Brokerage Engineering - Senior Data Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 1 day ago
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BlackBerry QNX
Ottawa, ON
- Full-time
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Added 1 day ago
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QNX DevOps Developer
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Added 1 day ago
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Python Engineer
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Toronto, ON
- $85 to $95 CAD / hour
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Python SAS
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
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Added 1 day ago
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Data Analyst
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Canada
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Added 1 day ago
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Senior Azure DevOps Engineer
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Toronto, ON
- Contract
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Questrade Financial Group

Technology - Brokerage Engineering - Senior Data Engineer

Toronto, ON, Canada

Base salary range: $120,000 - $143,000

Apply on jobs.dayforcehcm.com About employer

Applications open in a new tab.

Job details

Pay: Base salary range: $120,000 - $143,000
Apply by: Nov 12, 2026
Work location: Work-life balance in a hybrid environment with at least 3 days in office
Experience: 5+ years of progressive data engineering experience with demonstrated success delivering robust, production-grade data pipelines.
Posting language: English
Posted: Nov 11, 2026

Original job description

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.

What’s in it for you as an employee of 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

This job posting is for an existing vacancy

We’re looking for our next Senior Data Engineer. Could It Be You?

As part of the Brokerage Engineering organization, the Senior Data Engineer is accountable for the technical design, development, and operational excellence of scalable data pipelines and modern data platform infrastructure. Operating in a high-velocity, agile delivery model, this role bridges business requirements, core trading and brokerage operations, and downstream analytics to deliver timely, reliable, and audit-compliant data products. By leveraging cloud data warehousing, automated transformations with dbt, distributed data processing on Google Cloud Dataproc and Spark on Kubernetes, and Infrastructure as Code with Terraform, the role enhances platform performance and data self-service capabilities across the brokerage ecosystem.

Need more details? Keep reading…

In this role, responsibilities include but are not limited to:

Pipeline Architecture & Engineering: Lead the technical design, development, and optimization of scalable, high-performance batch and real-time streaming data pipelines (ETL/ELT), ensuring robust data ingestion, orchestration, compute efficiency, and timely availability for critical brokerage trading and digital investing platforms.
Data Modeling & Transformation with dbt: Architect, implement, and maintain modular, version-controlled data models and transformation workflows using SQL and dbt, establishing robust automated testing, documentation, and data lineage to deliver analytics-ready and audit-compliant data assets.
Distributed Data Processing & Spark Orchestration: Build, tune, and scale high-throughput big data processing workloads utilizing Google Cloud Dataproc and Apache Spark running on Kubernetes, optimizing cluster resource allocation, memory management, and job execution for complex brokerage datasets.
Infrastructure as Code (IaC) & Cloud Provisioning: Provision, configure, and manage resilient cloud data infrastructure across environments using Terraform, embedding CI/CD automation, security best practices, and cost-effective resource management into all data platform deployments.
Data Reliability, Observability & Incident Resolution: Analyze and resolve complex technical problems and production data anomalies across the stack, diagnosing root causes through systematic investigation and implementing durable monitoring, automated alerting, and self-healing solutions to prevent recurrence.
Data Governance, Lineage & Regulatory Integrity: Ensure comprehensive data quality, data lineage, role-based access control, and metadata cataloging across all brokerage data pipelines to satisfy strict financial industry governance, auditability, and regulatory reporting standards.
Cross-Functional Solution Delivery: Partner closely with Product Managers, Solution Architects, Software Engineers, and Data Science/ML Ops teams to translate complex business requirements and predictive models into robust, production-grade data products and integration workflows.
Standards, Quality & Technical Mentorship: Define and enforce coding, testing, and deployment standards across
data repositories, conducting thorough code reviews and providing technical guidance and mentorship to junior and intermediate engineers to foster engineering excellence.

So are YOU our next Senior Data Engineer ? You are if you…

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
5+ years of progressive data engineering experience with demonstrated success delivering robust, production-grade data pipelines.
Advanced proficiency in SQL and Python for data engineering, automation, and complex data transformations.
Hands-on production experience with distributed data processing using Google Cloud Dataproc and/or Apache Spark.
Demonstrated hands-on experience running and orchestrating data processing workloads on Kubernetes (containerization, pod scheduling, and resource scaling).
Hands-on production experience with cloud data warehousing and orchestration platforms (e.g., Google Cloud Platform services such as BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, or Databricks).
Demonstrated working knowledge and hands-on experience using dbt (data build tool) for data modeling, transformation, and automated testing.
Demonstrated working knowledge of Infrastructure as Code (IaC) utilizing Terraform to provision, configure, and maintain cloud infrastructure.
Strong experience with relational and non-relational database management systems (e.g., MSSQL, PostgreSQL, CloudSQL).
Demonstrated experience with modern CI/CD deployment pipelines, automated testing frameworks, and version control (Git).

Additional kudos if you…

Direct experience within financial services, brokerage technology, trading systems, capital markets, or wealth management data domains.
Experience with event-driven or real-time streaming architectures (e.g., Apache Kafka, Google Cloud Pub/Sub).
Relevant cloud or engineering certifications (e.g., Google Cloud Certified Professional Data Engineer, Databricks Certified Data Engineer, or Certified Kubernetes
Administrator/Application Developer).
Experience working within Agile/Scrum or Scaled Agile Framework (SAFe) environments.
Practical experience leveraging AI-assisted developer tooling (e.g., Claude, GitHub Copilot, Cursor) to optimize development velocity and code quality.

Compensation Information:

Base salary range: $120,000 - $143,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Sounds like you? Click below to apply!

At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence - not only for the benefit of our customers, but for those who build their career with us.

Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.

Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.

Apply on jobs.dayforcehcm.com About employer

More about this job

Responsibilities

The Senior Data Engineer is responsible for the technical design, development, and operational excellence of scalable data pipelines and modern data platform infrastructure. They will lead the architecture of high-performance data products while ensuring regulatory compliance and data quality across the brokerage ecosystem.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 5 years of progressive data engineering experience. Proficiency in SQL, Python, distributed data processing, and cloud infrastructure management is required.

Skills

Data Engineering
SQL
Python
Google Cloud Platform
Apache Spark
Kubernetes
dbt
Terraform
ETL/ELT
Data Modeling
BigQuery
CI/CD
Data Governance
Cloud Dataproc
Git
Distributed Systems

Benefits

Health and wellbeing resources
Paid vacation
Personal days
Sick days
Competitive compensation
Benefits packages
Career growth and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Brokerage Engineering
Cloud Data Warehousing
dbt
Google Cloud Dataproc
Apache Spark
Kubernetes
Terraform
Infrastructure as Code
ETL
ELT
BigQuery
Cloud Composer
Airflow
Data Governance
Data Lineage
CI/CD
SQL
Python
Fintech
Agile
Data Modeling
Distributed Processing
PostgreSQL
MSSQL
Git
Data Quality
Regulatory Reporting
Streaming Architectures
Automation

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Work requirements

Jobs in Canada