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- Tasks: Build and support data platforms, create data pipelines, and develop APIs.
- Company: Dynamic financial tech company based in Greater London.
- Benefits: Hybrid work model, learning opportunities, and collaborative culture.
- Why this job: Kickstart your career in Data Engineering with hands-on experience and growth potential.
- Qualifications: Strong foundation in Java or Python and a passion for data engineering.
- Other info: Join a team that values learning and innovation in a fast-paced environment.
The predicted salary is between 28800 - 48000 £ per year.
A financial technology company based in Greater London is seeking a Junior Software Engineer to help build their data platform. Ideal candidates will have a strong Java or Python foundation and a keen interest in Data Engineering. Candidates should be ready to support in creating data pipelines, API development, and database operations, while working in a hybrid environment with a strong emphasis on learning and collaboration.
Junior Data Platform Engineer (GCP & Pipelines) employer: Yapily
Contact Detail:
Yapily Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Platform Engineer (GCP & Pipelines)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a GitHub profile or personal website showcasing your projects, especially those related to data pipelines or API development. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your Java or Python skills. Practice common coding challenges and be ready to discuss your thought process. Remember, they want to see how you approach problems, not just the final answer!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Junior Data Platform Engineer (GCP & Pipelines)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Java or Python skills in your application. We want to see how you can bring your coding expertise to our data platform, so don’t hold back!
Express Your Interest in Data Engineering: Let us know why you're excited about Data Engineering! Share any projects or experiences that sparked your interest, as we love candidates who are passionate about what they do.
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific skills related to data pipelines, API development, and database operations to show us you’re the right fit.
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 Yapily
✨Know Your Tech Stack
Make sure you brush up on your Java or Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to data pipelines and API development.
✨Show Your Passion for Data Engineering
Express your enthusiasm for data engineering during the interview. Share any personal projects or experiences that highlight your interest in building data platforms and working with databases.
✨Prepare for Technical Questions
Expect technical questions related to GCP and data pipelines. Familiarise yourself with common tools and practices in the field, and be prepared to solve problems on the spot or explain your thought process.
✨Emphasise Collaboration and Learning
Since the company values collaboration, be ready to discuss how you work in teams. Share examples of how you've learned from others and contributed to group projects, showcasing your ability to thrive in a hybrid environment.
