At a Glance
- Tasks: Design and deliver end-to-end data pipelines in a cloud-native environment.
- Company: Pontoon, a forward-thinking company based in Edinburgh.
- Benefits: Salary of £36,000 to £41,000 plus a 5% bonus.
- Other info: 12-month contract with opportunities for growth in a hybrid work setting.
- Why this job: Join a dynamic team and work with cutting-edge data technologies.
- Qualifications: Strong programming skills in Java, Python, or Scala; experience with cloud data services.
The predicted salary is between 36000 - 41000 € per year.
Pontoon seeks a motivated Junior Data Engineer in Edinburgh for a hybrid role. You will design and deliver end-to-end data pipelines and work with distributed data technologies in a cloud-native environment.
Key responsibilities include:
- Optimizing data workflows
- Developing large-scale processing pipelines
Required skills include:
- Strong programming in Java, Python, or Scala
- Experience with cloud data services like GCP
This 12-month contract offers a salary of £36,000 to £41,000 plus a 5% bonus.
Hybrid Edinburgh: Junior Data Engineer, Cloud Pipelines employer: Pontoon
At Pontoon, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Junior Data Engineer in Edinburgh, you will benefit from a supportive environment that encourages professional growth through hands-on experience with cutting-edge cloud technologies. With competitive compensation, a bonus structure, and the flexibility of a hybrid working model, we are committed to providing meaningful and rewarding employment opportunities for our team members.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Edinburgh: Junior Data Engineer, Cloud Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud technologies. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and coding challenges. Practising with friends or using online platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Edinburgh: Junior Data Engineer, Cloud Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and cloud technologies. We want to see how your skills in Java, Python, or Scala can shine through!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about the Junior Data Engineer role. Share specific examples of your work with distributed data technologies and how you’ve optimised workflows.
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Include links or descriptions that demonstrate your ability to design and deliver data solutions in a cloud-native environment.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Pontoon
✨Know Your Tech Stack
Make sure you brush up on your programming skills in Java, Python, or Scala. Be ready to discuss how you've used these languages in past projects, especially in relation to data pipelines and cloud services like GCP.
✨Understand Data Workflows
Familiarise yourself with end-to-end data workflows. Be prepared to explain how you would optimise data processes and what tools you would use to develop large-scale processing pipelines.
✨Show Your Problem-Solving Skills
Think of examples where you've tackled challenges in data engineering. Whether it’s debugging a pipeline or improving performance, having specific scenarios ready will demonstrate your analytical thinking.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data architecture and the technologies they use. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
