Software Engineer in Test

Andersen is a global software development company with over 18 years of experience supporting businesses worldwide in digital transformation. Headquartered in Poland, it operates development centers across multiple countries, delivering end-to-end IT services including custom software development, API integration, system architecture, and legacy modernization. The company has over 3,700 experts in 16+ global locations and serves industries such as Healthcare, FinTech, Logistics, Automotive, Manufacturing, E-commerce, and Multimedia & Entertainment.

• 5+ years experience in software testing 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/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), ADO Pipelines, and GitHub.
• Ability to work closely with developers and maintain test code/repositories.
• English proficiency from Intermediate level and above.

Nice to have:

• Experience with Microsoft Fabric, Power BI, DAX, and PySpark/Apache Spark.
• Experience testing Power BI reports, paginated reports, and dashboards.
• Knowledge of data modeling principles and practices.
• Experience with AI/LLM-based testing approaches.
• Experience with GitHub Copilot.
• Microsoft Fabric certifications (DP-600 or DP-700).
• Databricks certification (DP-750).
• Previous Data Engineering experience or strong data engineering background.

• Understanding data and data-record testing requirements.
• Analyzing data testing requirements and defining test coverage.
• Designing automated tests instead of manual SQL validation.
• Building data test automation frameworks from scratch.
• Developing and maintaining test code alongside developers.
• Automating test design, execution, and reporting.
• Integrating automated tests into Azure DevOps pipelines and CI/CD.
• Validating data against source systems and performing automated data reconciliation.
• Testing data transformations and ETL processes.
• Writing SQL queries and working with databases.
• Testing data within Databricks.
• Testing Power BI reports, dashboards, and paginated reports.
• Ensuring automated tests provide consistent and reliable results.
• Working with AI/LLMs as part of the testing approach.
• Considering verification within the context of enterprise applications.
• Collaborating closely with developers during development and testing activities.