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).