qa engineer (auto) for enterprise data platforms

Andersen is a technology company that delivers digital solutions for businesses across financial services, healthcare, retail, and telecom. Its customer is a financial services provider focused on long-term financial planning and investment solutions, while the project modernizes retail technology and builds an enterprise data and analytics platform.

• Understand data and data-record testing requirements;
• Analyze data testing requirements and define appropriate test coverage;
• Design automated tests instead of performing manual SQL validation;
• Build a data test automation framework from scratch;
• Develop test code alongside developers;
• Maintain test code in GitHub or a separate test repository;
• Automate test design, test execution, and test reporting;
• Integrate automated tests into ADO pipelines and CI/CD;
• Validate data against source systems;
• Perform automated data reconciliation;
• Test data transformations and ETL processes;
• Work with databases and write SQL queries;
• Test data within Databricks;
• Test Power BI reports, dashboards, and paginated reports;
• Ensure automated tests provide consistent and reliable results;
• Work with AI/LLMs as part of the testing approach;
• Verify quality at both individual test and wider enterprise application levels;
• Work closely with developers during development and testing activities.

• 5+ Years of software testing experience with strong hands-on expertise in data testing;
• Experience testing enterprise-scale data solutions and complex data platforms;
• Strong knowledge of databases and SQL, including data validation and reconciliation;
• Hands-on experience with Databricks and ETL/data pipeline testing;
• Strong programming or scripting skills in Python, C#, and/or TypeScript;
• Experience designing, building, and maintaining automated testing frameworks for data solutions;
• Experience integrating automated tests into CI/CD pipelines using Azure DevOps, ADO Pipelines, and GitHub;
• Ability to work closely with developers and maintain test code and repositories;
• English at Intermediate+ level or above;
• Nice to have: Microsoft Fabric, Power BI, DAX, PySpark / Apache Spark, Power BI report and dashboard testing, data modeling, AI/LLM-based testing approaches, GitHub Copilot, Microsoft Fabric certifications DP-600 or DP-700, Databricks certification DP-750, previous Data Engineering experience or a strong data engineering background.

• Work fully remotely, from the office, or in a hybrid format;
• Possibility to earn up to an additional 1,000 EUR per month depending on expertise, included in the annual bonus;
• Professional, financial, and career growth opportunities;
• Mentoring and onboarding systems for each new employee;
• Access to the corporate training portal;
• Certification compensation, including AWS and PMP;
• Referral program;
• Private health insurance and sports compensation depending on the type of employment;
• Corporate events and benefits, including parties, pizza days, PlayStation, fruits, coffee, snacks, and movies;
• Available locations include Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and The Netherlands.