At a Glance
- Tasks: Design and implement cloud-native data architecture while managing complex data workflows.
- Company: Join Starling, a leading tech company in Greater London with a focus on innovation.
- Benefits: Enjoy generous leave, private medical insurance, and professional development opportunities.
- Other info: This hybrid role offers a great balance of remote and in-office work.
- Why this job: Be part of a dynamic team and work with cutting-edge cloud technologies.
- Qualifications: Experience in Kubernetes, Python or Java, and proficiency with cloud services required.
The predicted salary is between 60000 - 80000 € per year.
Starling is seeking a skilled Data Engineer for their team in Greater London. This hybrid position focuses on designing and implementing a cloud-native data architecture, with responsibilities including managing complex data workflows in Kubernetes and enhancing integrations between AWS and GCP.
The ideal candidate will have solid experience in Kubernetes, Python or Java, and proficiency with cloud services.
Benefits include generous leave policies, private medical insurance, and opportunities for professional development.
Cloud-Native Data Platform Engineer in London employer: Starling
Starling is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong focus on employee growth, generous leave policies, and private medical insurance, we empower our team to excel in their roles while enjoying a healthy work-life balance. Join us to be part of a collaborative culture that values your contributions and supports your professional development in the exciting field of cloud-native data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud-Native Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Starling. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes, Python, or Java. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the technical interview! Brush up on your cloud services knowledge and be ready to discuss how you've managed data workflows in the past. Practice common interview questions related to data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Starling team.
We think you need these skills to ace Cloud-Native Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kubernetes, Python or Java, and cloud services. We want to see how your skills align with the role of a Cloud-Native Data Platform Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team at Starling. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool projects involving data workflows or cloud architecture, make sure to mention them. We’re keen to see practical examples of your work, especially those that demonstrate your problem-solving skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Starling
✨Know Your Cloud Services
Make sure you brush up on your knowledge of AWS and GCP. Be ready to discuss how you've used these platforms in past projects, as well as any challenges you've faced and how you overcame them.
✨Kubernetes is Key
Since managing complex data workflows in Kubernetes is a big part of the role, be prepared to talk about your experience with it. Consider sharing specific examples of how you've deployed applications or managed clusters.
✨Showcase Your Coding Skills
Whether you're more comfortable with Python or Java, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the tech stack they use, and how they approach professional development. This shows your genuine interest in the role and the company.
