Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.

Introduction
Robertson is seeking a skilled Senior QA Automation Engineer to join our client in support of an existing vacancy.

Contract Period
12 months with potential to extend or convert

Pay Rate
Starting form $74 per hour

Location
Toronto, ON

Location Type
Hybrid

Business Hours
Monday-Friday, Core business hours

Job Responsibilities

Design, develop, and maintain automated testing frameworks for data pipelines, APIs, cloud data platforms, and application workflows using tools such as Selenium, PyTest, Python, and related automation libraries

Test data movement across systems by creating automated controls for completeness, accuracy, reconciliation, schema validation, anomaly detection, and quality checks at key integration points

Develop and execute test strategies for Azure-based data solutions, including Azure Databricks, Spark SQL, Delta Lake, PySpark, Azure Data Lake Storage, Azure Data Factory, and related data engineering pipelines

Build automated validation for REST APIs, service integrations, data ingestion, and downstream outputs using fit-for-purpose tools and frameworks

Work with testing leads, treasury business users, business systems analysts, developers, and platform engineers to understand requirements, define test coverage, and support end-to-end delivery

Apply Microsoft Copilot, GitHub Copilot, and agent-based workflows to support test generation, code acceleration, documentation, defect analysis, data profiling, and regression coverage while maintaining engineering judgment, review discipline, and compliance expectations





Robust technical depth, practical testing judgment, and a continuous-improvement mindset

Experience & Qualification Requirements

University degree required

6–10+ years of overall technology experience, including hands-on QA automation, test framework development, and testing of complex data or application platforms

Strong programming experience with Python, Perl, or a similar scripting language, with the ability to build reusable automation utilities and validation frameworks

Hands-on experience with Selenium, PyTest, API testing, regression testing, functional testing, and automated test execution in modern delivery environments

Strong SQL and data validation experience, including testing large-volume data movement, reconciliation, completeness, accuracy, schema checks, and data quality controls

Practical experience with Azure-based data platforms and services, including Azure Databricks, Spark SQL, Delta Lake, PySpark, Azure Data Lake Storage, Azure Data Factory, and related cloud data engineering patterns

Ability to use AI-enabled engineering tools effectively, including Microsoft Copilot, GitHub Copilot, and agent-based workflows, to accelerate test design, automation development, documentation, defect analysis, and productivity while applying responsible review and validation practices

Strong communication and collaboration skills, with the ability to work with business users, BSAs, developers,



testing leads, and platform teams to translate requirements into clear test strategies and deliverables

Experience with Databricks notebooks, PySpark-based validation, Delta Lake quality checks, medallion or lakehouse architecture testing, and performance-aware Spark SQL test design

Experience with data quality, observability, or orchestration tools such as Great Expectations, Deequ, DBT tests, Airflow, Azure DevOps pipelines, Jenkins, or similar frameworks

Financial services, treasury, capital markets, liquidity, regulatory reporting, or balance sheet management experience

Experience creating test documentation, traceability, defect summaries, control evidence, and audit-ready validation artifacts

Computer Science, Engineering, Information Systems, or a related technical degree or equivalent practical experience

Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.

We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.

Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.

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📌 Senior QA Automation Engineer (Ontario)
🏢 RobertsonLtd.
📍 Ontario