Lead Quality Engineer (Data)

Our requirements

• Extensive experience in Quality Engineering, ideally within Data Engineering, Big Data or complex data platform environments.
• Strong expertise in Quality Engineering principles, test strategy, automation and modern quality assurance practices.
• Proven experience defining and driving test strategies, standards and Quality Engineering best practices across teams.
• Advanced SQL skills, with experience validating complex datasets, data transformations and ETL/ELT pipelines.
• Strong hands-on experience with Python, PySpark, Databricks and testing distributed data processing solutions.
• Experience designing and evolving automated test frameworks and integrating continuous testing into CI/CD 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 lead the investigation of complex quality issues and drive effective solutions.
• Excellent communication and stakeholder management skills, with the ability to influence technical decisions and champion quality across engineering teams.
• Experience providing technical guidance, mentoring engineers and supporting the development of Quality Engineering capability.
• A proactive, continuous improvement mindset with a strong focus on delivering reliable, scalable and high-quality data solutions.
• Excellent command of English (written and spoken).

Your responsibilities

• Define and drive Quality Engineering strategy, standards and best practices across data platforms, pipelines and products.
• Lead the design and development of automated and manual test solutions to ensure data accuracy, completeness, consistency and reliability.
• Lead the investigation of complex quality issues, perform root cause analysis and drive preventative actions and continuous improvement.
• Partner with Data Engineers, Data Designers, Product Owners and other stakeholders to define quality requirements, identify risks and establish effective testing approaches.
• Drive quality throughout the software development lifecycle, championing shift-left testing, automation and quality as a shared engineering responsibility.
• Lead testing across data integration, ETL/ELT processes and data transformations, ensuring quality and integrity across the end-to-end data ecosystem.
• Champion test automation and continuous testing, improving test coverage, efficiency and integration with CI/CD pipelines.
• Provide technical guidance and mentoring to other engineers, supporting knowledge sharing and the development of Quality Engineering capability.
• 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.
• Evaluate emerging tools, technologies and practices, identifying opportunities to continuously improve Quality Engineering across the team.

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

• mentoring
• substantive support from technological leaders

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