Quality Engineer (Data)

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

Overview

Quality Engineer (Data)

We’reKingfisher, a team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: Castorama, B&Q, Screwfix, BricoDépôtandKoçtaş- to life.That’sright,we’rebig, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. Andthat’swhere you come in.

At Kingfisher, our customers come from allwalks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.

We are open to flexible and agile working. Therefore, we offer colleagues a blend of working from home and our office,locatedin Kraków. Talk to us about how we can best support you!

At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles, even if you do not feel you meet 100% of the requirements.

In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self. Interested?

We offer a competitive benefit package and plenty of opportunities to stretch and grow your career:

• 12,000 - 22,000 PLN gross per month on an employment contract

• Private medical healthcare at LUXMED (including dentalcare) for you and your family

• Medicoversports card (Fit&Morepackage)

• 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

What's the job?

About the role

We are looking for a Quality Engineer to join our Data Engineering team and help ensure the reliability, integrity and performance of our data platforms and products.

Working closely with Data Engineers, Data Designers, Data Quality Analysts, Product Owners and other stakeholders, you will contribute to test automation, data validation and Quality Engineering practices throughout the software development lifecycle.

You will help identify and resolve quality issues, improve test coverage and contribute to the continuous improvement of our testing processes, tools and ways of working.

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.

What you'll bring

• 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).

To get to know us better visit:

LinkedIn

Kingfisher plc