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Urgent! Middle Data QA Engineer (#4133) Job Opening In UKraine, UKraine – Now Hiring N-iX

Middle Data QA Engineer (#4133)



Job description

Work type: Office/Remote Technical Level: Middle Job Category: Quality Control Project: cleverbridge

N-iX is looking for a Middle Data QA Engineer to join a project in the e-commerce domain.

You will be involved in testing, validating, and maintaining a new Data Lakehouse solution.

This role combines hands-on QA work with a focus on data quality, accuracy, and reliability.


Our Client is a global full-service e-commerce and subscription billing platform on a mission to simplify software sales everywhere.

For nearly two decades, we’ve helped SaaS, digital goods, and subscription-based businesses grow by managing payments, global tax compliance, fraud prevention, and recurring revenue at scale.

Our flexible, cloud-based platform, combined with consultative services, helps clients accelerate growth, reach new markets, and build long-term customer relationships.


Data is at the core of every decision we make.

We are building a next-generation data platform that powers analytics, insights, and innovation.

As part of the team, you will collaborate with cross-functional teams (Data and Software Architects, Engineering Managers, Product Owners, and Data/Power BI/QA Engineers)andhelp ensure the quality and integrity of data pipelines, transformations, and reports.



Key Responsibilities:

  • Test and validate new data engineering features, ETL/ELT processes, and Power BI reports for data accuracy, completeness, and business rule alignment.

  • Verify data integrity across multiple layers: source systems, staging (AWS/Snowflake), and reporting (Power BI).

  • Design and execute data quality checks, reconciliation scripts, and validation routines using SQL and/or scripting (Python preferred).

  • Identify discrepancies or anomalies in data early and work with engineering teams to resolve root causes.

  • Create and maintain test plans, test cases, and test data for both functional and non-functional aspects of data products.

  • Collaborate with product owners to translate requirements into measurable validation criteria.

  • Support root cause analysis and contribute to continuous improvement of data governance and observability.

  • Optionally, perform exploratory data analysis to detect trends or inconsistencies.
  • Requirements :

  • 2+ years of experience in QA.

  • Strong SQL (joins, filtering, aggregations, CTEs, window functions) for data validation and reconciliation.

  • Advanced Excel (pivot tables, formulas, lookups, data comparison).

  • Understanding of SDLC/STLC, agile processes, and QA documentation standards (test cases, bug lifecycle).

  • Experienced writing clear test cases, documenting results, and concise bug reports.

  • Experience in designing and executing data quality checks, reconciliation scripts, and validation routines using SQL and/or scripting (Python preferred).

  • Analytical mindset and strong attention to detail.

  • Ability to work independently within a data-driven environment.

  • Intermediate+ English.
  • Nice to Have:

  • Experience with any BI tool (Power BI, Tableau, etc.)

  • Familiarity with cloud data platforms (AWS, Snowflake, or similar)

  • Exposure to ETL orchestration (Airflow, Glue, etc.)

  • Interest in data quality automation or scripting-based testing

  • Prior experience in data QA, data analytics, or data operations

  • We offer*:

  • Flexible working format - remote, office-based or flexible

  • A competitive salary and good compensation package

  • Personalized career growth

  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

  • Active tech communities with regular knowledge sharing

  • Education reimbursement

  • Memorable anniversary presents

  • Corporate events and team buildings

  • Other location-specific benefits
  • *not applicable for freelancers


    Required Skill Profession

    Computer Occupations



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