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 excellent career growth in a collaborative team.
- Why this job: Make an impact by enhancing integrations between AWS and GCP in a dynamic environment.
- 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 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 careers 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
✨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, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Cloud-Native Data Platform Engineer
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, so don’t be shy about 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 cloud-native data architecture and how you can contribute to our team at Starling. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any cool data workflows or integrations, make sure to mention them! We love seeing real-world applications of your skills, especially those involving AWS and GCP.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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. Think of specific examples where you've deployed applications or managed clusters, and be ready to explain your thought process.
✨Showcase Your Coding Skills
Whether you're more comfortable with Python or Java, make sure you can demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the team dynamics, the tech stack they use, or their approach to professional development. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
