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Overview

Data Engineer

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:

15,000 - 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

What's the job?

About the role

As a Data Engineer, you will play an important role in designing, building and maintaining reliable data solutions that support Kingfisher’s data platforms and products.

Working as part of a collaborative engineering team, you will contribute to the development of scalable data pipelines and solutions, helping to ensure that data is accessible, reliable and effectively used across the business. You will work with modern data technologies and cloud platforms while applying established engineering standards and best practices.

You will collaborate closely with other Data Engineers, Software Engineers, Product teams and stakeholders to deliver high-quality data solutions that meet business needs. Along the way, you will have opportunities to strengthen your technical expertise, contribute ideas and improvements, and continue developing your skills within Kingfisher’s wider data engineering community.

Responsibilities

Design, build, test and maintain reliable, scalable and production-ready data pipelines and data solutions.

Develop and optimise data processing workflows, ensuring solutions are efficient, maintainable and cost-effective.

Work with modern cloud data platforms and technologies to ingest, transform, store and process data from a range of sources.

Apply established Data Engineering standards, design patterns and best practices across data pipelines and solutions.

Contribute to CI/CD, automated testing, monitoring and observability to support reliable deployment and operation of data solutions.

Support data quality and governance by implementing appropriate validation, monitoring and controls.

Collaborate with Data Engineers, Product teams, Architects and other technical stakeholders to understand requirements and deliver effective solutions.

Investigate and resolve data and pipeline issues, identifying root causes and implementing appropriate improvements.

Contribute to the continuous improvement of data platforms, engineering processes and ways of working.

Explore, evaluate and implement practical applications of AI in Data Engineering, identifying opportunities to improve data quality, pipeline monitoring, anomaly detection, automated testing and overall engineering efficiency.

Participate in code reviews, technical discussions and knowledge sharing across the engineering team.

What you'll bring

Good problem-solving and analytical skills, with the ability to investigate technical and data-related issues.

Strong programming skills in Python and SQL.

Hands-on experience with data processing technologies such as Spark, PySpark or Scala.

Experience building and maintaining production data pipelines and data processing solutions.

Good understanding of data modelling, storage, transformation and processing concepts.

Experience with DBT or similar tools for data modelling and transformation.

Hands-on experience with at least one major cloud platform, such as GCP, Azure or AWS.

Experience with modern data platforms and services such as Databricks, BigQuery or Azure Data Factory.

Understanding of batch, streaming and event-driven data processing patterns.

Experience with DevOps and DataOps practices, including CI/CD, Git and Infrastructure as Code.

Understanding of data quality principles, automated testing and monitoring, with experience using relevant tools or frameworks.

Good understanding of scalable, reliable and observable data solutions.

Ability to work collaboratively within cross-functional engineering teams and communicate effectively with both technical and non-technical stakeholders.

A continuous improvement mindset and willingness to develop technical knowledge and contribute to engineering best practices.

Excellent command of English (written and spoken).

To get to know us better visit:

LinkedIn

Kingfisher plc

77:T1b6a,

Overview

Quality Engineer (Data)

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!

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

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 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

78:T1dff,

Overview

Lead Quality Engineer (Data)

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!

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).

To get to know us better visit:

LinkedIn

Kingfisher plc

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