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- Tasks: Build cloud-native data warehouses and machine learning platforms using AWS and GCP.
- Company: Pioneering digital bank in Cardiff with a focus on innovation.
- Benefits: Hybrid working, robust benefits, and a commitment to diversity and inclusion.
- Why this job: Join a forward-thinking team and shape the future of banking with data.
- Qualifications: Strong programming skills in Python or Java, experience with Kubernetes and Terraform.
- Other info: Dynamic work environment with opportunities for growth and development.
The predicted salary is between 30000 - 50000 £ per year.
A pioneering digital bank in Cardiff is looking for talented data professionals. This role involves building cloud-native Warehouse and Machine Learning platforms and improving tooling in AWS and GCP.
Ideal candidates will have:
- Strong programming skills in Python or Java
- Experience with Kubernetes and Terraform
- A solid understanding of SQL
The company promotes a hybrid working environment, offering robust benefits and a commitment to diversity and inclusion.
Data Engineer: Cloud Infra & ML Platform in Cardiff employer: Starling
Contact Detail:
Starling Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Cloud Infra & ML Platform in Cardiff
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, GCP, or any cool Machine Learning stuff. This gives us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for the tech interview! Brush up on your Python or Java skills and be ready to tackle some coding challenges. Practising with mock interviews can really boost our confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer: Cloud Infra & ML Platform in Cardiff
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python or Java right from the start. We want to see how your experience with Kubernetes, Terraform, and SQL can contribute to building our cloud-native platforms.
Tailor Your Application: Don’t just send a generic application! Take a moment to tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Yourself: We value diversity and inclusion, so don’t hesitate to let your personality shine through in your application. Share your unique experiences and perspectives that make you a great fit for our team!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
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. Be ready to discuss your experience with Kubernetes and Terraform, as well as how you've used SQL in past projects. The more specific examples you can provide, the better!
✨Understand Cloud Platforms
Since this role involves building cloud-native platforms, take some time to familiarise yourself with AWS and GCP. Be prepared to talk about any projects you've worked on in these environments and how you tackled challenges related to cloud infrastructure.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising systems. Think of a few scenarios where you faced a technical challenge and how you resolved it. This will demonstrate your analytical thinking and ability to adapt.
✨Embrace Diversity and Inclusion
The company values diversity and inclusion, so be ready to discuss how you contribute to a positive team environment. Share experiences where you've collaborated with diverse teams or how you've supported inclusive practices in your previous roles.
