Senior QA Automation Engineer – Data

Salary: €65,000 - 80,000 + bonus, pension, healthcare, and life cover

We are seeking a QA Automation Engineer with deep experience in data-driven systems who can take ownership of quality across complex reporting, analytics, and API-based platforms. This role suits someone comfortable setting testing direction, influencing standards, and working closely with engineering and analytics teams. You’ll join a collaborative team where quality is treated as a core engineering discipline and where career progression is actively supported.

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• Build and evolve automated test solutions covering data pipelines, APIs, and analytical platforms.
  
• Define test strategies, quality metrics, and acceptance criteria in partnership with engineers and analysts.
  
• Drive automation best practices and contribute to continuous improvement across QA processes.
  
• Execute and maintain functional, integration, regression, and performance testing.
  
• Validate data accuracy, consistency, and integrity across batch and streaming environments.
  
• Test distributed data pipelines and analytics workflows built on modern big-data technologies.
  
• Ensure quality across front-end and back-end services, including web applications and APIs.
  
• Validate reporting outputs and dashboards for correctness, performance, and usability.
  
• Embed automated testing into CI/CD workflows and cloud-based delivery pipelines.
  
• Support testing activities throughout development, UAT, and release phases.
  
• Produce clear documentation and actionable insights from test results.
  

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• 5+ years’ experience in QA, test automation, or software testing within data-heavy or large-scale systems.
  
• Strong hands‑on automation skills using Python, including data validation and reconciliation.
  
• Advanced SQL for testing transformations, reconciliations, and reporting outputs.
  
• Practical experience testing big data and analytics platforms (e.g. Spark-based pipelines).
  
• Strong background testing BI and reporting solutions for data accuracy and business logic.
  
• Experience deploying and running test frameworks in cloud environments.
  
• Familiarity with CI/CD pipelines, version control systems, and Agile delivery models.
  
• Degree in Computer Science, IT, or equivalent professional experience.
  
• Strong communication skills and the ability to collaborate across multidisciplinary teams.
  

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• Formal QA certification (e.g. ISTQB or equivalent).
  
• Experience with cloud-native data services and orchestration tools.
  
• Knowledge of modern test frameworks such as PyTest.
  
• Exposure to Infrastructure as Code and automated environments. xcfaprz
  
• Understanding of data quality, governance, and compliance concepts.