Senior QA Engineer

Quick Facts

• Role: Senior QA Engineer (f/m/d)
• Focus: Quality engineering for Azure & Databricks data hubs and data processing pipelines

Description

As a Senior QA Engineer, you will ensure the quality, reliability, and performance of Data Hubs and data processing pipelines in Azure & Databricks. You will build automated test frameworks, run regression testing, and validate large-scale data processing workflows while enforcing data quality, governance, security, and privacy standards.

Responsibilities

• Design, develop, and maintain automated test frameworks for data processing and orchestration
• Conduct regression, performance, and scalability testing for data ingestion and transformation
• Implement data quality validation and anomaly detection in Azure-based data pipelines
• Collaborate with Data Engineering and DevOps teams to integrate testing into CI/CD pipelines
• Ensure compliance with data security, governance, and privacy standards
• Define test strategies, best practices, and documentation for Data & AI solutions

Requirements

• Strong expertise in Python, PySpark, SQL, and test automation frameworks
• Experience with Azure Data Services (Databricks, Data Factory, Storage Accounts)
• Proficiency in testing big data pipelines, distributed systems, and ETL workflows
• Hands-on experience with CI/CD tools (Azure DevOps, Jenkins) and test automation
• Strong understanding of data governance, quality frameworks, and monitoring tools
• Excellent problem-solving skills and ability to work in Agile/Scrum environments

Benefits

• Medical package, sports card, and sports sections
• Flexible working hours, employee assistant program, and possibility of remote working
• Workshops and training courses, hackathons, meetups, digital learning platforms, and language courses
• Participation in CSR activities
• Team-building activities (e.g., bike races, soccer matches, film marathons)
• Diverse and inclusive environment