Lead Quality Engineer (Data)

Kingfisher plc; Kraków; Hybrid; PLN 257,000 - 335,000; Full time

Benefits offered by this job

Private medical healthcare

Medicover sports card

Life insurance

30-minute lunch break

Home office option

Language courses

Job summary

Kingfisher plc in Kraków seeks an experienced Lead Quality Engineer to provide technical leadership across Quality Engineering within our Data Engineering environment. You will shape quality strategy and ensure reliability and performance of our data platforms and products.

Working with Data Engineers, Data Designers, Data Quality Analysts and Product Owners, you will drive Quality Engineering standards, lead test strategy and automation, and embed quality throughout the software development

Qualifications

• 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).

Responsibilities

• Define and drive Quality Engineering strategy across data platforms, pipelines and products.
• Lead the design of automated and manual tests to ensure data accuracy and reliability.
• Investigate complex quality issues, perform root-cause analysis and drive improvements.
• Partner with Data Engineers and stakeholders to define quality requirements and testing approaches.
• Drive quality across the software lifecycle, advocate shift-left testing and automation.
• Lead testing across data integration and ETL/ELT processes to ensure data integrity.
• Champion test automation and CI/CD integration for faster feedback.
• Provide technical guidance and mentoring to engineers in Quality Engineering.
• Explore AI use in Quality Engineering to improve test automation and data validation.
• Evaluate new tools and practices to continuously improve Quality Engineering.

Skills

Quality Engineering

SQL

Python

PySpark

Databricks

CI/CD

Cloud data platforms

Analytical skills

Communication

Mentoring

Test automation

English

Tools

CI/CD tools

Python testing frameworks

Job description

We’re Kingfisher, a team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: Castorama, B&Q, Screwfix, Brico Dépôt and Koçtaş - to life. That’s right, we’re big, 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. And that’s where you come in.

At Kingfisher, our customers come from all walks 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, located in 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? Great, apply now and help us to Power the Possible.

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

• 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

What's the job?

About The Role

We are looking for an experienced Lead Quality Engineer to provide technical leadership across Quality Engineering within our Data Engineering environment. You will play a key role in shaping quality strategy and ensuring 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 drive Quality Engineering standards and best practices, lead test strategy and automation, and embed quality throughout the software development lifecycle.

You will provide technical guidance, support continuous improvement and help strengthen Quality Engineering capability across the team.

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.

What You'll Bring

• 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).

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Kingfisher plc