Senior QA Data Tester - Manual & Automation (12-Month B2B Contract)

NEXT Ventures • Poland
Remote
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AI Summary

Experienced QA Data Tester needed for a dynamic data-focused project. Design and execute manual/automated tests, validate data quality, and collaborate with cross-functional teams. 12-month B2B contract, fully remote in Poland.

Key Highlights
Design, develop, and execute manual & automated test cases
Validate data quality, integrity, and consistency across data pipelines
Collaborate with data engineers, analysts, and business stakeholders
Key Responsibilities
Design, develop, and execute manual and automated test cases
Validate data quality, integrity, and consistency across data pipelines and platforms
Perform functional, integration, regression, and end-to-end testing
Create and maintain automated test scripts and testing frameworks
Analyse data using SQL to identify issues, validate transformations, and verify business requirements
Collaborate with development and data engineering teams to resolve defects and improve overall quality
Document test plans, test cases, defects, and testing results
Support continuous improvement of QA processes and testing best practices
Technical Skills Required
Manual Testing Automation Testing SQL Data Testing Databricks
Benefits & Perks
Fully remote working arrangement within Poland
Long-term 12-month B2B contract
Nice to Have
Experience with PySpark
Polish language skills
Experience working within cloud-based data platforms
Knowledge of CI/CD and automated testing frameworks

Job Description


QA Data Tester (Manual & Automation Testing)

Location: Fully Remote (Poland)

Contract Type: B2B Contract

Duration: 12 Months

Language Requirements: English (Polish is a plus)

Start Date: ASAP


About the Role

We are currently seeking an experienced QA Data Tester to join a dynamic data-focused project on a 12-month B2B contract. This is a fully remote opportunity for professionals based in Poland who have a strong background in both manual and automated testing within data environments.

The successful candidate will work closely with data engineers, analysts, and business stakeholders to ensure the quality, accuracy, and reliability of data solutions across the platform.


Key Responsibilities

  • Design, develop, and execute manual and automated test cases.
  • Validate data quality, integrity, and consistency across data pipelines and platforms.
  • Perform functional, integration, regression, and end-to-end testing.
  • Create and maintain automated test scripts and testing frameworks.
  • Analyse data using SQL to identify issues, validate transformations, and verify business requirements.
  • Collaborate with development and data engineering teams to resolve defects and improve overall quality.
  • Document test plans, test cases, defects, and testing results.
  • Support continuous improvement of QA processes and testing best practices.


Required Skills & Experience

  • Proven experience as a QA Tester, Data Tester, or similar role.
  • Strong experience with both manual and automation testing.
  • Solid SQL skills with the ability to validate and analyse data effectively.
  • Experience testing data pipelines, ETL/ELT processes, or data platforms.
  • Exposure to Databricks environments.
  • Strong understanding of software testing methodologies and QA best practices.
  • Excellent communication skills in English.


Nice to Have

  • Experience with PySpark.
  • Polish language skills.
  • Experience working within cloud-based data platforms.
  • Knowledge of CI/CD and automated testing frameworks.


What's on Offer?

  • Fully remote working arrangement within Poland.
  • Long-term 12-month B2B contract.
  • Opportunity to work on modern data and analytics projects.
  • Collaborative international team environment.
  • Fast recruitment process with an immediate start available.


Interview Process

Stage 1: Technical Interview

Stage 2: Client/Stakeholder Interview

Successful candidates can expect a streamlined two-stage interview process and an ASAP start.


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