Senior Quality Engineer (Data)

Senior Quality Engineer (Data)  

(Hybrid/Kraków – 1 day per week in the office) 

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:  

• 19,000 - 26,000 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 

About the role 

We are looking for an experienced and detail-oriented Senior Quality Engineer to join our Data Engineering team. In this role, you will play a key part in ensuring the quality, reliability, and integrity of our data platforms and products, helping to deliver trusted, high-quality data solutions that support business decision-making. 
 

Working closely with Data Engineers, Data Designers, Data Quality Analysts, Product Owners, and other cross-functional stakeholders, you will drive quality engineering best practices, contribute to test strategy and automation, and champion quality throughout the software development lifecycle. 

You'll join a QE chapter of ~300 engineers operating across 150 squads, with structured career pathways, an internal AI-assisted testing toolkit (including a Claude-based Playwright test debugger), and a defined training/certification track for QEs moving into data engineering specialisms. 

If you're looking for an exciting opportunity to step out of your comfort zone and make a real impact building better software, this is the job for you!   

Responsibilities 

• Design, develop, and maintain automated data quality checks across the Medallion architecture (Bronze/Silver/Gold), using dbt tests, Great Expectations (or equivalent), and custom PySpark assertions to validate accuracy, completeness, consistency, and referential integrity at each layer. 

• Lead the investigation of complex quality issues, perform root cause analysis, and drive preventative actions to improve product quality and engineering practices. 

• Partner with Data Engineers, Data Designers, Product Owners, and other stakeholders to define quality requirements, identify risks, and implement effective quality assurance strategies. 

• Drive quality throughout the software development lifecycle by actively contributing to Agile ceremonies and promoting quality engineering best practices within the team. 

• Design and maintain high-quality test documentation, including test strategies, test plans, test cases, execution reports, and test closure reports. 

• Validate ETL/ELT processes built on Databricks and Apache Spark, including Delta Lake table integrity, schema evolution handling, and job-level performance regression. Own Unity Catalog-level data governance checks (lineage, access control validation, table certification status) as part of the QA sign-off process. 

• Champion test automation across the GitLab CI/CD pipeline, including contract testing (Pact/PactFlow) for data API/service boundaries where applicable, and drive adoption of automated DoD validation gates ahead of production deployment. 

• Keep up to date with emerging trends, tools, and best practices in Quality Engineering, test automation, and modern data platforms, sharing knowledge and mentoring other team members where appropriate. 

• Contribute to and maintain the QE-to-Data-Engineering skill uplift path, including SQL / dbt / PySpark / Unity Catalog proficiency benchmarks, and mentor QEs transitioning from traditional application testing into data engineering quality roles. 

• Extensive experience in Quality Engineering, ideally within a Data Engineering or Big Data environment. 

• Strong understanding of Quality Engineering principles, test strategy, test automation, and quality assurance best practices. 

• Advanced SQL skills, including experience writing and interpreting dbt models and dbt tests (not just raw SQL validation)  

• Working proficiency in Python and PySpark sufficient to write test harnesses, data validation scripts, and reconciliation checks against Spark DataFrames. 

• Direct hands-on experience building pipelines on Databricks (notebooks, job orchestration, Delta Lake) - strongly preferred 

• Experience designing and maintaining automated test frameworks and integrating automated testing into CI/CD pipelines. 

• Good understanding of cloud-based data platforms and modern software development practices. 

• Experience working in Agile teams and collaborating effectively with cross-functional engineering and product teams. 

• Strong analytical and problem-solving skills, with the ability to investigate complex quality issues and identify root causes. 

• Excellent communication and stakeholder management skills, with the confidence to influence engineering decisions and promote quality best practices. 

• A proactive mindset, strong attention to detail, and a passion for delivering high-quality, reliable software and data solutions. 

• Excellent command of English (written and spoken).