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- Tasks: Design and build infrastructure for real-time data pipelines using Python.
- Company: Fast-growing international tech company based in the UK.
- Benefits: Full-time position with opportunities for professional growth and development.
- Why this job: Join a dynamic team and work on impactful data processes.
- Qualifications: Fluency in Python and understanding of distributed systems required.
- Other info: Collaborate with software engineers and data scientists in a supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
A fast-growing international technology company based in the UK is seeking an entry-level engineer to design and build infrastructure for data pipelines. The role involves collaboration with software engineers and data scientists to ensure robust, 100% uptime data processes.
Ideal candidates will be fluent in Python and have a strong understanding of distributed systems and micro-service architectures.
The company offers a full-time position with opportunities for professional growth and development.
Entry-level Python Engineer — Real-Time Pipelines in London employer: Vortexa
Contact Detail:
Vortexa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Entry-level Python Engineer — Real-Time Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to data pipelines or distributed systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly shows your enthusiasm for joining our team. Plus, it’s super easy to navigate!
We think you need these skills to ace Entry-level Python Engineer — Real-Time Pipelines in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. Whether it's through projects, coursework, or personal coding adventures, we want to see how you've used Python to solve problems or build cool stuff!
Talk About Teamwork: Since this role involves collaboration with software engineers and data scientists, share examples of how you've worked in teams before. We love seeing candidates who can communicate well and contribute to a group effort!
Demonstrate Your Understanding of Systems: Mention any knowledge you have about distributed systems and micro-service architectures. Even if it’s just from your studies or personal projects, showing that you understand these concepts will make you stand out to us.
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. Plus, it’s super easy!
How to prepare for a job interview at Vortexa
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python, including any projects you've worked on. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Distributed Systems
Since the role involves working with distributed systems, take some time to familiarise yourself with the concepts and architectures involved. Be prepared to explain how these systems work and why they are important for data pipelines.
✨Show Your Collaborative Spirit
This position requires collaboration with software engineers and data scientists, so be ready to share examples of how you've worked in teams before. Highlight your communication skills and your ability to contribute to a team environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data processes 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.
