Senior Automation QA Engineer

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

About the Role

We are looking for a Principal Automation Quality Engineer to ensure the quality, reliability, and accuracy of data pipelines and ETL processes. You will work closely with Data Engineers and Product Owners, combining strong SQL skills, test automation, and data validation techniques.

Key Responsibilities

• Review requirements and ensure they are testable.

• Create and execute manual and automated test plans.

• Test ETL processes, data pipelines, transformations, and outputs.

• Perform data validation, schema checks, and source-to-target reconciliation.

• Conduct end-to-end testing of new features and pipeline changes.

• Perform staging and release validation.

• Own QA activities throughout the development lifecycle.

• Identify, report, and track defects through resolution.

• Analyze test results and prepare QA reports.

• Identify opportunities to improve QA processes and automation.

• Collaborate closely with Product Owners and Data Engineers.

Requirements

• 3–5 + years of QA experience, preferably in data engineering or ETL testing.

• Strong SQL skills.

• Working knowledge of Python for data validation and test automation.

• Experience testing data pipelines and ETL processes.

• Knowledge of data quality checks, schema validation, and source-to-target reconciliation.

• Experience with test automation and automation infrastructure.

• Strong understanding of Agile, SDLC, and defect lifecycle.

• Strong analytical and root-cause analysis skills.

• Excellent English communication skills.

• Practical experience using AI coding/testing tools.