Data Engineer

7 days ago


Remote Krakow Kraków, Czech Republic Kingfisher plc. Full time
Job Overview

We are seeking a highly motivated and experienced Data Engineer to join our Data Engineering team at Kingfisher Plc. As a member of our greenfield tech hub, you will be responsible for quality assurance of engineering on the data platform, ensuring continued service delivery versus expectations. You will also utilise your understanding of engineering stages of a data platform to ensure the integrity and stability of our systems.

Requirements:
• Strong background in software development and large-scale distributed data processing systems
• Knowledgeable about data modelling, governance, security, access, and storage
• Proficient in programming languages within our data ecosystem, such as Python
• Experience with cloud data technologies on GCP, Azure, or AWS
• Agile delivery framework experience

What We Offer:
In return for your expertise, 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. You will have the opportunity to work on industry-leading technology, gain experience on parallel disciplines such as DevOps and security, and receive a competitive benefits package, including:
  • Private medical healthcare at LUXMED (including dental care) for you and your family
  • Medicover sports card (Fit & More package)
  • Life insurance financed by the employer
  • Training & Buddy programme for quick adaptation to your new role
  • Wellbeing programme for employees
  • Co-financing of monthly tickets for public transport in Krakow
  • Language courses, accounting courses, access to LinkedIn Learning, and possibility of co-financing studies and certification
  • Employee referral programme

Estimated Salary: £60,000 - £80,000 per annum, depending on experience and qualifications. Based on industry standards and considering the company's size and location, this salary range reflects the value we place on attracting top talent to our Data Engineering team.

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