Senior Data QA Engineer (#1555)

Work type:
Technical Level:
Job Category:
One of the leading Ukrainian banks

N-iX is actively looking for a Senior Data QA Engineer to join our team!

Our Customer - is one of the biggest financial institutions in Ukraine. AWS migration.


  • Create and improve test plans outlining test objectives, testing scope, methodologies, and timelines specific to data-related functionalities, pipelines, or systems.
  • Prepare basis for test automation setup
  • Establish, enforce, and improve data quality standards and guidelines to ensure compliance and consistency across datasets.
  • Support other team members and provide them with recommendations.
  • Work closely with data engineers and stakeholders to understand project requirements, data specifications, and expectations.
  • Proactively communicate findings, issues, and resolutions to technical and non-technical stakeholders, ensuring clarity and understanding.
  • Design and document test cases and test scenarios tailored for data validation, ETL processes, data migration, and other data-related workflows.
  • Verify the accuracy, consistency, and completeness of data by performing data validation and integrity checks. Identify and rectify discrepancies or anomalies.
  • Analyze data profiles to understand data structures, patterns, and anomalies for effective quality assessment.
  • Perform various types of testing, including functional testing, regression testing, integration testing, and performance testing, on data pipelines, ETL workflows, and data transformations.
  • Investigate and perform root cause analysis of data-related issues, collaborating with relevant teams to determine underlying causes and implement effective solutions.
  • Stay updated with the latest trends, tools, and best practices in test automation and quality assurance.

Qualifications and Skills:

  • 4+ years of relevant work experience in data analysis, quality assurance, data governance, or a similar field is highly desirable.
  • Experience with automation approach. Experience automation tools.
  • Knowledge of data quality frameworks, data profiling, data validation, and data cleansing techniques
  • Familiarity with data governance principles and best practices.
  • Experience in developing and executing test plans, test cases, and test scripts specific to data quality assurance.
  • Understanding of database systems and ETL (Extract, Transform, Load) processes.
  • Proficiency in working with relational databases (SQL, MySQL, PostgreSQL, etc.)
  • Ability to create comprehensive documentation of data quality processes, standards, and issues.
  • Strong analytical and problem-solving skills, with an attention to detail.
  • At least an Intermediate strong level of English

Nice to have:

  • Proficiency in data analysis tools like SQL, Python, R, or similar languages for querying and manipulating data.
  • Nice to have DB, Kafka knowledge
  • Familiarity with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.

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