Senior Data & ETL QA Engineer - Cloud & AI Testing

Everience

Rotterdam

On-site

EUR 65,000 - 90,000

Full time

14 days+
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Job summary

Everience is seeking an experienced Senior IT Software Quality Engineer Data & ETL to lead QA across data pipelines and cloud ecosystems. You will test end-to-end ETL processes, validate data accuracy, and work with developers, data engineers and product owners to ensure data quality.

Strong SQL, Python/PySpark skills and Azure data services are required. You will combine hands-on testing with data analysis and contribute to test automation where possible, while supporting API and integration

Qualifications

  • Several years of experience as a Software Quality Engineer, Data QA Engineer, Data Test Engineer or similar role.
  • Demonstrable experience with ETL Testing / Big Data Testing.
  • Strong knowledge of SQL and data validation.
  • Hands-on with Python, PySpark and Pandas and Azure data tools.

Responsibilities

  • Plan, execute and continuously improve QA activities for data pipelines and cloud environments.
  • Test end-to-end data flows, ETL processes and cross-system data validation.
  • Coordinate with developers, data engineers, analysts and product stakeholders.
  • Develop and maintain test plans, cases and automation where possible.
  • Validate API and data exchange between applications; use Postman for testing.
  • Manage defect lifecycle and report on quality metrics and risks.

Skills

Software Quality Engineer
Data QA Engineer
ETL Testing
Big Data Testing
SQL
Python
PySpark
Pandas
Azure DevOps
Azure Data Factory
Azure Databricks
Azure Data Lake Gen2
Postman

Education

Bachelor's or Master's in CS/IT/Data Engineering/Software Engineering

Tools

Postman
Azure DevOps
Azure Data Factory
Azure Databricks
Azure Data Lake Gen2
Python
PySpark
Pandas

Job description

Everience is seeking an experienced Senior IT Software Quality Engineer Data & ETL to lead QA across data pipelines and cloud ecosystems. You will test end-to-end ETL processes, validate data accuracy, and work with developers, data engineers and product owners to ensure data quality.

Strong SQL, Python/PySpark skills and Azure data services are required. You will combine hands-on testing with data analysis and contribute to test automation where possible, while supporting API and integration

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