Cloud Data Platform Engineer: Kubernetes & ML

Cloud Data Platform Engineer: Kubernetes & ML

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and implement scalable cloud-native data solutions using Kubernetes.
  • Company: Join Starling, a pioneering bank revolutionising the banking experience.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and hybrid work options.
  • Other info: Collaborate with cross-functional teams in an innovative environment.
  • Why this job: Be part of a dynamic team and make a real impact in banking technology.
  • Qualifications: Strong expertise in Kubernetes and coding skills in Python or Java.

The predicted salary is between 60000 - 80000 Β£ per year.

Starling is seeking a talented data engineer to be part of a pioneering team focused on building a robust cloud-native data environment. You will lead the design and implementation of scalable solutions while collaborating with cross-functional teams.

The role requires strong expertise in Kubernetes, along with coding skills in Python or Java.

Starling offers a dynamic culture and benefits including 25 days holiday, private medical insurance, and the ability to work hybrid. Join us in revolutionizing the banking experience!

Cloud Data Platform Engineer: Kubernetes & ML employer: Starling

Starling is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the banking sector. With generous benefits such as 25 days of holiday and private medical insurance, alongside opportunities for hybrid working, employees are empowered to thrive both personally and professionally. Join us to be part of a pioneering team where your expertise in Kubernetes and coding will help shape the future of cloud-native data solutions.

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Contact Details:

Starling Recruitment Team

We think you need these skills to ace Cloud Data Platform Engineer: Kubernetes & ML

SQL
Python
Data Pipeline Development
Problem-Solving Skills
Data Engineering
Communication Skills
API Integration