Senior Automation Tester - Python/Pytest

Accountabilities:

• Design, develop, and maintain automated test frameworks for ETL pipelines and large-scale data warehouse environments using Python and Pytest


• Create and manage realistic test datasets that simulate production-scale workloads and probability distributions


• Collaborate with solution architects and technical teams to validate deliverables, troubleshoot issues, and ensure high-quality releases


• Execute database and integration testing activities, including SQL validation, data modelling verification, and ETL quality assurance


• Support CI/CD pipeline implementation and testing automation processes while aligning with cloud engineering standards and workflows


• Monitor, track, and report testing activities through tools such as JIRA while contributing to continuous improvement initiatives


• Ensure compliance with technical standards, documentation requirements, and testing best practices across all development phases

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field


• 5+ years of experience in automation testing, with strong expertise in database and ETL testing environments


• Advanced proficiency in Python and Pytest for automated testing design and implementation


• Strong hands-on experience with SQL, CTEs, window functions, facts/dimensions modelling, and data warehouse development


• Familiarity with CI/CD concepts, integration testing tools, and cloud-based delivery pipelines


• Experience working with AWS infrastructure and Infrastructure-as-Code concepts, including CloudFormation


• Strong analytical and troubleshooting skills with the ability to work independently in remote, distributed teams


• Fluent English communication skills and eligibility to work within Europe without sponsorship requirements

• Fully remote long-term contract position within Europe


• Flexible remote working environment with international collaboration


• Opportunity to work on enterprise-scale cloud and data engineering projects


• Exposure to advanced ETL automation, cloud infrastructure, and CI/CD ecosystems


• Collaborative multicultural team environment with experienced technical professionals


• Competitive compensation based on experience and expertise


• Long-term project stability and continuous technical learning opportunities

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