Senior Quality Engineer (Data)

Kingfisher plc; Kraków; On-site; PLN 212,040 - 290,160; Full time

Benefits offered by this job

Prywatna opieka medyczna

Job summary

Kingfisher plc poszukuje Senior Quality Engineer (Data) do zespołu Data Engineering. Rola obejmuje zapewnienie jakości, niezawodności i integralności danych, wspierając decyzje biznesowe poprzez wysokiej jakości dane.

Doświadczenie z PySpark, Databricks, dbt, Great Expectations i testami w CI/CD jest kluczowe. Praca w modelu hybrydowym z jednym dniem w Krakowie, z możliwością pracy zdalnej częściowo.

Qualifications

• Znajomość SQL i PySpark, umiejętność tworzenia i weryfikacji testów danych.
• Doświadczenie w Quality Engineering w otoczeniu Data Engineering.
• Znajomość dbt i testów danych oraz pracy z datami w Databricks.

Responsibilities

• Projektowanie, rozwijanie i utrzymywanie zautomatyzowanych kontroli jakości danych w architekturze Medallion.
• Prowadzenie dochodzeń w złożonych problemach jakości oraz analiza przyczyn źródłowych.
• Współpraca z Data Engineers, Data Designers i Product Owners w definiowaniu wymagań jakości.

Skills

SQL

Python

PySpark

dbt

Databricks

CI/CD

Tools

Great Expectations

Unity Catalog

Pact/PactFlow

Delta Lake

Spark

Job description

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, BricoDépôt, 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.

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, offering a blend of working from home and our office located in Kraków.

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, and a defined training/certification track for QEs moving into data engineering specialisms.

Responsibilities

• Design, develop, and maintain automated data quality checks across the Medallion architecture (Bronze/Silver/Gold), using dbt tests, Great Expectations, 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 UnityCatalog‑level data governance checks 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, UnityCatalog proficiency benchmarks, and mentor QEs transitioning from traditional application testing into data engineering quality roles.

Qualifications

• 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.
• 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).

Benefits

• Salary: 19,000 – 26,000 PLN gross per month on an employment contract.
• Private medical healthcare at LUXMED (including dental care) for you and your family.
• Medicover sports card (Fit & More package).
• Life insurance at Generali 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 to help you quickly adapt to your new role.
• Wellbeing programme for employees.
• Co‑financing of monthly tickets for the public transport in Kraków (50% discount).
• 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.
• Parking spaces and LOTOS card.
• Opportunity to earn annual bonus that aligns with the work level of the role.
• Co‑financing of monthly tickets (Kingfisher Pension Scheme).