Our client, a leading Canadian commercial property and casualty insurance provider, is seeking an experienced Data Quality Engineer (Contract) with 7+ years of hands-on experience in Data Quality, Data Warehouse testing, and ETL validation.
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In this key leadership role within the data engineering space, you will possess strong technical expertise, lead a team of data quality engineers, and collaborate with cross-functional stakeholders to ensure the accuracy, completeness, and reliability of enterprise data platforms. The ideal candidate brings a deep understanding of modern data ecosystems, data quality automation, and a proven track record of driving success within Agile environments to support business-critical reporting and analytics initiatives.
Advantages
Flexible Hybrid Model: Enjoy work-life balance with up to 2 days per week working remotely from home, along with schedule flexibility.
Competitive Compensation: Earn a competitive contract rate of $60 - $65/hr CAD, depending on experience and skills.
Team Leadership & Impact: Opportunity to mentor and guide a dedicated team while shaping enterprise-wide data strategies.
Modern Enterprise Ecosystem: Gain exposure to large-scale cloud data platforms, complex data warehousing, and cutting-edge ETL/ELT technologies.
Responsibilities
Team Leadership: Lead and mentor a team of Data Quality Engineers, providing technical guidance, code reviews, and establishing QA best practices.
Data Strategy & Testing: Define and implement enterprise-wide data quality strategies for Data Warehouse and modern cloud data platforms.
Requirement Analysis: Translate complex business requirements into comprehensive data validation scenarios and end-to-end test strategies.
Pipeline Validation: Validate end-to-end ETL/ELT data pipelines to ensure absolute data accuracy, integrity, and completeness.
Automation Frameworks: Design, develop, and maintain automated data quality and regression testing frameworks.
Data Profiling & Reconciliation: Perform source-to-target validation, reconciliation, transformation testing, and data profiling.
Stakeholder Collaboration: Partner closely with Business Analysts, Data Engineers, Product Owners, and business stakeholders to clarify requirements and resolve data quality issues.
Root Cause Analysis: Identify root causes of data anomalies and partner with development teams to drive permanent resolutions.
Agile Integration: Actively participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives.
Governance & Monitoring: Establish data quality metrics, dashboards, and governance practices to continuously monitor data health.
Release Verification: Support release validation, production deployments, and post-release data verification.
Qualifications
Experience: 7+ years of hands-on experience in Data Quality Engineering, ETL/Data Warehouse testing, or related Data Engineering roles.
Leadership: Proven experience leading, managing, or mentoring a team of Data Quality or QA professionals.
Agile Expertise: Strong background working within Agile software development environments.
Education: Bachelor’s degree, Diploma, or Certificate in Computer Science, Software Engineering, or a related field (or equivalent combination of education and relevant experience).
Technical Skills: Deep knowledge of modern data ecosystems, automated data testing tools, source-to-target reconciliation, and complex SQL/ETL validation methodologies.
Summary
This contract opportunity is ideal for a senior Data Quality Engineer or Data Engineering leader looking to make a visible impact within a top-tier Canadian enterprise. If you bring a strong background in ETL validation, data warehouse testing, and team leadership within Agile environments, we encourage you to apply.
Please submit your resume for immediate consideration.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
Our client, a leading Canadian commercial property and casualty insurance provider, is seeking an experienced Data Quality Engineer (Contract) with 7+ years of hands-on experience in Data Quality, Data Warehouse testing, and ETL validation.
In this key leadership role within the data engineering space, you will possess strong technical expertise, lead a team of data quality engineers, and collaborate with cross-functional stakeholders to ensure the accuracy, completeness, and reliability of enterprise data platforms. The ideal candidate brings a deep understanding of modern data ecosystems, data quality automation, and a proven track record of driving success within Agile environments to support business-critical reporting and analytics initiatives.
Advantages
Flexible Hybrid Model: Enjoy work-life balance with up to 2 days per week working remotely from home, along with schedule flexibility.
Competitive Compensation: Earn a competitive contract rate of $60 - $65/hr CAD, depending on experience and skills.
Team Leadership & Impact: Opportunity to mentor and guide a dedicated team while shaping enterprise-wide data strategies.
...
Modern Enterprise Ecosystem: Gain exposure to large-scale cloud data platforms, complex data warehousing, and cutting-edge ETL/ELT technologies.
Responsibilities
Team Leadership: Lead and mentor a team of Data Quality Engineers, providing technical guidance, code reviews, and establishing QA best practices.
Data Strategy & Testing: Define and implement enterprise-wide data quality strategies for Data Warehouse and modern cloud data platforms.
Requirement Analysis: Translate complex business requirements into comprehensive data validation scenarios and end-to-end test strategies.
Pipeline Validation: Validate end-to-end ETL/ELT data pipelines to ensure absolute data accuracy, integrity, and completeness.
Automation Frameworks: Design, develop, and maintain automated data quality and regression testing frameworks.
Data Profiling & Reconciliation: Perform source-to-target validation, reconciliation, transformation testing, and data profiling.
Stakeholder Collaboration: Partner closely with Business Analysts, Data Engineers, Product Owners, and business stakeholders to clarify requirements and resolve data quality issues.
Root Cause Analysis: Identify root causes of data anomalies and partner with development teams to drive permanent resolutions.
Agile Integration: Actively participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives.
Governance & Monitoring: Establish data quality metrics, dashboards, and governance practices to continuously monitor data health.
Release Verification: Support release validation, production deployments, and post-release data verification.
Qualifications
Experience: 7+ years of hands-on experience in Data Quality Engineering, ETL/Data Warehouse testing, or related Data Engineering roles.
Leadership: Proven experience leading, managing, or mentoring a team of Data Quality or QA professionals.
Agile Expertise: Strong background working within Agile software development environments.
Education: Bachelor’s degree, Diploma, or Certificate in Computer Science, Software Engineering, or a related field (or equivalent combination of education and relevant experience).
Technical Skills: Deep knowledge of modern data ecosystems, automated data testing tools, source-to-target reconciliation, and complex SQL/ETL validation methodologies.
Summary
This contract opportunity is ideal for a senior Data Quality Engineer or Data Engineering leader looking to make a visible impact within a top-tier Canadian enterprise. If you bring a strong background in ETL validation, data warehouse testing, and team leadership within Agile environments, we encourage you to apply.
Please submit your resume for immediate consideration.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
