Data Quality Engineer

Our requirements

• Practical experience in Quality Engineering, ideally within Data Engineering, Big Data or data platform environments.
• Good understanding of Quality Engineering principles, test automation and modern quality assurance practices.
• Good SQL skills, with experience validating datasets, data transformations and ETL/ELT pipelines.
• Hands-on experience with Python and exposure to technologies such as PySpark and Databricks.
• Experience developing and maintaining automated tests and contributing to test automation frameworks.
• Understanding of CI/CD practices and experience integrating automated testing into delivery pipelines.
• Good understanding of cloud-based data platforms, data quality principles and modern software engineering practices.
• Strong analytical and problem-solving skills, with the ability to investigate quality issues and identify root causes.
• Good communication and collaboration skills, with experience working within cross-functional engineering and product teams.
• A proactive and continuous improvement mindset, with a strong focus on delivering reliable and high-quality data solutions.
• Excellent command of English (written and spoken).

Your responsibilities

• Design, develop and maintain automated and manual test solutions to ensure data accuracy, completeness, consistency and reliability.
• Contribute to Quality Engineering standards and best practices across data platforms, pipelines and products.
• Investigate quality issues, perform root cause analysis and support the implementation of effective solutions and preventative actions.
• Collaborate with Data Engineers, Data Designers, Product Owners and other stakeholders to understand quality requirements, identify risks and define appropriate testing approaches.
• Support quality throughout the software development lifecycle, contributing to shift-left testing, automation and continuous testing practices.
• Test data integration, ETL/ELT processes and data transformations, ensuring data quality and integrity across the data ecosystem.
• Develop and maintain automated tests, improving test coverage and supporting integration with CI/CD pipelines.
• Explore, evaluate and implement practical uses of AI in Quality Engineering, identifying opportunities to improve test automation, data validation, defect detection and overall testing efficiency.
• Contribute to continuous improvement by sharing knowledge and exploring tools and practices that improve testing quality and efficiency.

About the project

This is how we organize our work

This is how we work on a project

• Continuous Integration
• test automation
• unit tests

What we offer

• 23,000 - 30,000 PLN gross per month on an employment contract
• Private medical healthcare at LUXMED (including dentalcare) for you and your family
• Medicover sports card (Fit&More package)
• Life insurance financed by the employer
• 30-minute lunch break included in the 8-hour working day
• Work in a highly professional and stimulating atmosphere
• Training & Buddy programme that will allow you to quickly adapt to your new role
• Wellbeing programme for employees
• Co-financing of monthly tickets for the public transport in Krakow
• Comfortable working environment in the office and the possibility of home office
• Language courses, accounting courses, access to LinkedIn Learning and the possibility of co-financing studies and certification
• Employee referral programme

Development opportunities we offer

• technical knowledge exchange within the company
• time for development of your ideas

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• integration events
• dental care
• no dress code

Recruitment stages

• 1.
  Send in your application
• 2.
  Talent Acquisition team will then review your application
• 3.
  You’ll have a telephone interview/one to one conversation
• 4.
  You’ll be invited to a face to face or virtual interview
• 5.
  Recruiter will be in touch with feedback and next steps

Kingfisher