Data Engineer: Cloud Infra & ML Platform
Data Engineer: Cloud Infra & ML Platform

Data Engineer: Cloud Infra & ML Platform

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Build cloud-native data warehouses and machine learning platforms using AWS and GCP.
  • Company: Leading digital bank in Manchester with a focus on innovation.
  • Benefits: Generous holiday, volunteer time, and comprehensive insurance options.
  • Why this job: Join a dynamic team and make an impact in the fintech space.
  • Qualifications: Proficient in Python or Java, Kubernetes, and Terraform experience required.
  • Other info: Hybrid role promoting collaboration and growth in a fast-paced environment.

The predicted salary is between 36000 - 60000 Β£ per year.

A leading digital bank in Manchester is looking for talented data professionals to join their team. You will be responsible for building cloud-native Warehouse and Machine Learning platforms and improving tooling in AWS and GCP. The position requires good programming knowledge in Python or Java, proficiency with Kubernetes, and experience with Terraform. This hybrid role encourages collaboration and offers a dynamic work environment. Benefits include generous holiday, volunteer time, and various insurance options.

Data Engineer: Cloud Infra & ML Platform employer: Starling

As a leading digital bank in Manchester, we pride ourselves on fostering a collaborative and dynamic work environment where talented data professionals can thrive. Our commitment to employee growth is reflected in our generous benefits package, which includes ample holiday time, volunteer opportunities, and comprehensive insurance options, making us an excellent employer for those seeking meaningful and rewarding careers in the tech industry.
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Contact Detail:

Starling Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Engineer: Cloud Infra & ML Platform

✨Tip Number 1

Network like a pro! Reach out to current employees at the bank on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and maybe even a referral!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in Python, Java, or any cloud platforms you've worked with. This is our chance to demonstrate what we can bring to the table beyond just a CV.

✨Tip Number 3

Prepare for the technical interview! Brush up on Kubernetes and Terraform, and be ready to discuss how you've used them in past projects. We want to impress them with our knowledge and problem-solving skills.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight our relevant experience directly related to the role.

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

Cloud-Native Development
Machine Learning Platforms
AWS
GCP
Python
Java
Kubernetes
Terraform
Collaboration Skills
Dynamic Work Environment Adaptability

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with cloud-native platforms and tools like AWS, GCP, Kubernetes, and Terraform. 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 data engineering and how your background in Python or Java makes you a great fit for our team. Let us know what excites you about this hybrid role!

Showcase Your Projects: If you've worked on any cool projects related to machine learning or cloud infrastructure, make sure to mention them! We love seeing practical examples of your work, so include links or descriptions that demonstrate your expertise.

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. Plus, we can’t wait to hear from you!

How to prepare for a job interview at Starling

✨Know Your Tech Stack

Make sure you brush up on your programming skills in Python or Java, as well as your knowledge of Kubernetes and Terraform. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding.

✨Showcase Your Cloud Experience

Since the role involves building cloud-native platforms, be prepared to talk about your experience with AWS and GCP. Highlight specific projects where you've implemented solutions in the cloud, and be ready to explain the challenges you faced and how you overcame them.

✨Emphasise Collaboration Skills

This position encourages collaboration, so think of examples where you've worked effectively in a team. Discuss how you communicate with colleagues and how you handle feedback, as this will demonstrate your ability to thrive in a dynamic work environment.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about the company's culture, the team you'll be working with, and the specific challenges they face in their cloud infrastructure. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Data Engineer: Cloud Infra & ML Platform
Starling

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