Data Engineer

Overview

Data Engineer

(Hybrid, Cluj, Romania)

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 Cluj. 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.

We offer a competitive benefit package and plenty of opportunities to stretch and grow your career:

• Annual performance bonus

• Employee referral bonus

• Private medical care with Regina Maria Priority Plan; option to add one immediate family member (spouse or child) at no extra cost

• Eyeglasses vouchers

• Employer‑financed life insurance (Metropolitan Life)

• 7Card fitness membership (co‑funded)

• Access to Bookster, LEO Learning and LinkedIn Learning

• Fresh fruit bar and premium coffee in the office

• Hybrid work model — up to 3 days/week in the office and 2 days from home

• Flexible working hours

• 21 days of annual leave plus 1 extra day per year of tenure (up to 25 days total)

• Substitution days when public holidays fall on weekends

• Paid leave for wedding and bereavement

• Meal tickets: 40 RON/day (gross)
• Gift vouchers: up to 4 per year x 300 RON (net) each, offered for specific occasions:- Christmas - all employees- Easter - all employees- 8th of March- female employees- 1st of June- employees with children

What's the job?

About the Role

We are going through and exciting period of change and are seeking a highly motivated and experienced Data Engineer to join our Data Engineering team. You will be responsible for end to end development on the data platform, including test development, to ensure continued service delivery versus expectations.

You will have understanding of all engineering stages for a data platform by providing an end-to-end, full stack data expertise from design to build. You will be a member of the team, helping to develop and mentor junior members as well as input into design and architectural decisions.

Responsibilities

• Responsible for providing direction to data engineers working on the data platform, including best practices, review and testing processes
• Provide engineering support as required to the data engineering resource within the delivery squads
• Responsible for ensuring we have the right data engineering resource on the programme, and they are properly onboarded and mentored
• Update job knowledge by studying state-of-the-art tools, programming techniques, and computing equipment and by participating in educational opportunities, reading professional publications, maintaining personal networks, and participating in professional organisations
• Provide information by collecting, analysing, and summarising development and service issues
• Support and develop data engineers by providing advice, coaching, and educational opportunities

What you'll bring

Skills & Experience

• Strong engineering background and proven experience in developing and maintaining large-scale distributed data processing systems or equivalent expertise.
• Extensive knowledge of data modelling principles, data quality assurance, testing methodologies, and best practices for data access and storage.
• Strong command of data scripting languages within our data ecosystem, including Python, SQL, and PySpark.
• Experience with Azure Databricks and DBT for building and optimising data pipelines and workflows.
• Experience in implementing cloud data solutions on at least one major cloud provider (Azure, AWS, or GCP)
• Knowledge around shortening development lead time and improving data development lifecycle
• Familiarity with Agile methodologies and working experience within Agile delivery frameworks
• Excellent command of English (written and spoken)

  To get to know us better visit:

  LinkedIn

  Kingfisher plc