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Senior Test Engineer – Data & AI
Testing

Senior Test Engineer – Data & AI

40 - 44 USD/hNet per hour - B2B
40 - 44 USD/hNet per hour - B2B
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Hybrid

Tech stack

    Testing

    regular

    Python

    regular

    PySpark

    regular

    SQL

    regular

    Databricks

    regular

    Data Factory

    regular

    ETL

    regular

    CI/CD

    regular

    Azure DevOps

    regular

    Jenkins

    regular

Job description

Online interview
Friendly offer

Rates: 150-165 PLN/H net + VAT, B2B, full-time

Work Arrangement: Remote work is available outside Warsaw. If based in Warsaw or nearby, hybrid work is required (1-2 days per week in the office).

Seniority: 5+ years ogf experience


About the Role

We are looking for a highly skilled Senior Test Engineer to ensure the quality, reliability, and performance of our Data Hubs and data processing pipelines in Azure & Databricks. In this role, you will design and implement automated test frameworks, validate large-scale data workflows, and collaborate with cross-functional teams to integrate testing into CI/CD pipelines.


Key Responsibilities

  • Design, develop, and maintain automated test frameworks for data processing and orchestration.
  • Conduct regression, performance, and scalability testing for data ingestion and transformation pipelines.
  • Implement data quality validation and anomaly detection for Azure-based data solutions.
  • Collaborate with Data Engineers 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.


Skills & Experience

  • 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.


Nice to Have

  • Experience with ML model validation and AI pipeline testing.
  • Familiarity with data lineage tracking and metadata management tools.


40 - 44 USD/h

Net per hour - B2B

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