Data Quality Engineer | Automation & ETL

Kingfisher; Kraków; Hybrid; PLN 134,000 - 246,000; Full time

Benefits offered by this job

Private medical healthcare

Life insurance

Public transport tickets

Lunch break

Training & Buddy

Wellbeing programme

Home office option

LinkedIn Learning

Employee referrals

Job summary

Kingfisher plc is seeking a Quality Engineer (Data) to join our Data Engineering team in Kraków. You will ensure data reliability, integrity and performance across data platforms and products, collaborating with Data Engineers, Designers and Product Owners to implement test automation and data validation throughout the SDLC.

You will help improve test coverage, investigate quality issues and contribute to continuous testing practices, including AI-powered enhancements to testing workflows, while

Qualifications

• 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).

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.

Skills

Quality engineering

SQL

Python

PySpark

Databricks

CI/CD

Cloud data

Analytical skills

Communication

Tools

Databricks

PySpark

Job description

Kingfisher plc is seeking a Quality Engineer (Data) to join our Data Engineering team in Kraków. You will ensure data reliability, integrity and performance across data platforms and products, collaborating with Data Engineers, Designers and Product Owners to implement test automation and data validation throughout the SDLC.

You will help improve test coverage, investigate quality issues and contribute to continuous testing practices, including AI-powered enhancements to testing workflows, while