Software Quality Engineer

Airswift; Den Haag; Hybrid; EUR 120,000 - 166,000; Full time

Job summary

Airswift is seeking a Software Quality Engineer for a freelance engagement in The Hague (1-3 days per week). You will ensure the quality of large-scale data platforms, ETL pipelines and reporting solutions, with hands-on testing across ingestion, transformation and BI outputs.

Responsibilities include designing manual test cases, SQL-based validation, data reconciliation, and using Azure DevOps to track progress; work with Azure Data Factory, Databricks, and Data Lake; collaborate with data

Qualifications

• Experience in end-to-end testing of data ingestion and reporting workflows.
• Strong SQL skills for data validation and reconciliation.
• Familiarity with BI/reporting validation and ETL processes.

Responsibilities

• Perform end-to-end testing across data ingestion, transformation, and reporting workflows.
• Validate ETL processes, Big Data solutions, and BI/reporting outputs.
• Design and execute manual test cases, data validation, and reconciliation activities.
• Develop and maintain SQL-based validation routines and quality assurance frameworks.
• Support testing activities within Azure-based data ecosystems, including Azure Data Factory, Databricks, and Data Lake environments.
• Collaborate with data engineers, business stakeholders, and development teams to manage the full test lifecycle.
• Track defects, test execution, and delivery progress using Azure DevOps.
• Identify quality risks proactively and ensure timely mitigation.

Skills

Manual Testing

BI Validation

Advanced SQL

Data Validation

End-to-End Testing

ETL Frameworks

Python

PySpark

Postman

Education

Degree in Computer Science / IT / Data Engineering

Tools

Azure Data Factory

Databricks

Azure Data Lake

Job description

Setup: Freelance (Daily Rate / Limited Company / Umbrella / Sole Trader)

Location: The Hague (1-3 days a week)

Our client is seeking a Software Quality Engineer with strong experience in data-centric testing environments to ensure the quality, accuracy, and reliability of large-scale data platforms, ETL pipelines, and reporting solutions.

Key Responsibilities:

• Perform end-to-end testing across data ingestion, transformation, and reporting workflows.
• Validate ETL processes, Big Data solutions, and BI/reporting outputs.
• Design and execute manual test cases, data validation, and reconciliation activities.
• Develop and maintain SQL-based validation routines and quality assurance frameworks.
• Support testing activities within Azure-based data ecosystems, including Azure Data Factory, Databricks, and Data Lake environments.
• Collaborate with data engineers, business stakeholders, and development teams to manage the full test lifecycle.
• Track defects, test execution, and delivery progress using Azure DevOps.
• Identify quality risks proactively and ensure timely mitigation.

Must-Have Skills:

• Manual Testing
• BI / Reporting Validation
• Advanced SQL
• Data Validation and Reconciliation
• End-to-End Test Lifecycle Management
• ETL Frameworks and Processes
• Python
• PySpark
• Postman

Nice-to-Have:

• Experience with AI-based testing frameworks
• Knowledge of intelligent data validation techniques
• Modern test automation and quality engineering practices
• Exposure to cloud-native data architectures
• Relevant degree in Computer Science, IT, Data Engineering, or related discipli