Lead Quality Engineer (Data)

Kingfisher

Kraków

Hybrid

PLN 257,000 - 335,000

Full time

3 days ago
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Job summary

Kingfisher plc is seeking a Lead Quality Engineer (Data) to provide technical leadership across Quality Engineering in the Data Engineering environment. You will shape quality strategy and ensure reliability, integrity and performance of data platforms and products.

Work closely with Data Engineers, Data Designers and Product Owners to drive testing standards, automation and best practices, embedding quality throughout the SDLC and driving continuous improvement.

Qualifications

  • Extensive experience in Quality Engineering, ideally within Data Engineering, Big Data or complex data platforms.
  • Strong expertise in quality principles, test strategy, automation and modern QA practices.
  • Proven ability to define and drive test strategies, standards and best practices across teams.
  • Excellent SQL skills for validating complex datasets and data transformations.

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 and reliability.
  • Lead root-cause analysis for complex quality issues and drive preventative actions.
  • Collaborate with Data Engineers, Data Designers and Product Owners to define quality requirements and testing approaches.
  • Champion shift-left testing, automation and quality as a shared engineering responsibility.
  • Lead testing across data integration, ETL/ELT processes and data transformations.
  • Champion continuous testing and integration with CI/CD pipelines.
  • Provide technical guidance and mentoring to engineers to grow Quality Engineering capability.
  • Explore AI applications to improve test automation and data validation.

Skills

Quality engineering
SQL
Python
PySpark
Databricks
CI/CD
Test automation
Stakeholder management
English language

Tools

Databricks
CI/CD tooling

Job description

Overview

Lead 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? Great,

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
  • 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 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).

To get to know us better visit:

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