Data Quality Engineer

Citylogix; Remote; CAD 70,000 - 90,000; Full time

Job summary

A data analytics provider in Canada is looking for a Data Quality Engineer to oversee system integrity and data accuracy in pipeline infrastructure. The role involves developing automated testing frameworks, conducting end-to-end and integration testing, as well as creating data validation systems. Ideal candidates should have over three years of QA experience, a strong understanding of test automation, and excellent troubleshooting skills. This position is crucial for maintaining high standards of data quality and reliability.

Qualifications

• Minimum 3 years of experience in QA/testing roles, ideally with data systems.
• Proven experience with test automation frameworks.
• Strong knowledge of data validation techniques.

Responsibilities

• Develop automated testing for all pipeline components.
• Implement end-to-end system and integration testing.
• Create data validation and integrity frameworks.
• Design performance and load testing procedures.
• Build real-time quality monitoring systems.
• Investigate and resolve data discrepancies.

Skills

Test automation frameworks

Data validation techniques

Analytical skills

Troubleshooting skills

Tools

Performance testing tools

Job description

Citylogix is a leading provider of data and analytics for smart city transportation infrastructure, leveraging LiDAR, 360° imaging, and AI-powered analytics to create detailed digital maps, and provide predictive analytics for proactive asset management.

About the role

The Data Quality Engineer serves as the guardian of system integrity and data accuracy across the entire pipeline infrastructure. This position encompasses comprehensive testing responsibilities, from unit testing individual components to validating end-to-end system functionality and data correctness. The engineer will develop sophisticated testing frameworks that ensure both technical reliability and data integrity at scale. The role requires a methodical approach to quality assurance combined with deep understanding of data validation techniques. The successful candidate will establish quality gates throughout the development lifecycle and implement real-time monitoring systems to detect anomalies before they impact operations.

What you'll do

• Develop automated testing for all pipeline components
• Implement end-to-end system and integration testing
• Create data validation and integrity frameworks
• Design performance and load testing procedures
• Build real-time quality monitoring systems
• Investigate and resolve data discrepancies

Qualifications

• 3+ years in QA/testing roles, preferably with data systems
• Experience with test automation frameworks
• Knowledge of data validation techniques
• Familiarity with performance testing tools
• Strong analytical and troubleshooting skills