Data Quality Engineer (Data Pipelines & Automation)

About Citylogix

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

We’re hiring a Data Quality Engineer to ensure the accuracy, reliability, and performance of our data pipelines and data platforms. In this role, you’ll build automated test frameworks, implement end-to-end and integration testing, and create data validation systems that protect production data at scale. You’ll work closely with Data, Platform, and Engineering teams to define quality gates, monitor data in real time, and catch anomalies before they affect analytics, reporting, or customer-facing systems.

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
• Test features before production deployment
• 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