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Avenga

Senior Automation QA Engineer

Avenga

. Review requirements and ensure they are testable .

Posted 10/7/2026full-timePrague • CzechiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in QA processes, including manual and automated testing of ETL processes and data pipelines. Proficient in SQL and Python for data validation and test automation, with strong analytical skills for defect tracking and resolution.

Highest-signal resume keywords
QA ExperienceSQL SkillsPython for Test AutomationETL TestingAgile Methodology

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Test PlansData ValidationSchema ChecksSource-to-Target ReconciliationTest AutomationDefect TrackingAnalytical SkillsRoot-Cause Analysis
Soft Skills
Excellent Communication Skills
Tools & Technologies
AI Coding/Testing Tools
Industry Keywords
Data EngineeringETL ProcessesAgileSDLCDefect Lifecycle

Tech Stack

Tools & technologies
ETLPythonSDLCSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Benefits

Comp & perks
  • Equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic
  • Respectful and inclusive work environment
  • Opportunity to shape what's next together at Avenga