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 culture of collaboration and innovation, making it an ideal place for engineers to thrive. With a hybrid working model, employees enjoy flexibility while benefiting from comprehensive support for professional growth and development. The positive work environment, coupled with a commitment to clean coding practices, ensures that team members are empowered to tackle complex challenges and contribute meaningfully to the future of banking.

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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