Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build real-time data pipelines using Python for a fast-growing tech company.
- Company: Join a dynamic technology company in the UK with a focus on innovation.
- Benefits: Enjoy flexible working, private health insurance, and potential equity options.
- Why this job: Be part of a team that values continuous learning and cutting-edge technology.
- Qualifications: Expertise in distributed systems and a passion for data engineering.
- Other info: Great opportunities for career advancement in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing technology company in the United Kingdom is looking for a mid-senior level data engineer. The role involves designing and building data pipelines using Python, ensuring uptime and fault tolerance. Candidates should have expertise in distributed systems and a passion for continuous learning.
The position offers a flexible working policy, private health insurance, and opportunities for equity options in the company.
Senior Python Engineer — Real-Time Data Pipelines employer: Vortexa
Contact Detail:
Vortexa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer — Real-Time Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other data engineers. 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 portfolio showcasing your Python projects, especially those involving real-time data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on distributed systems concepts. Practice coding challenges related to data pipelines and fault tolerance. We recommend using platforms that simulate real interview scenarios to get comfortable.
✨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 Senior Python Engineer — Real-Time Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in distributed systems!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about building real-time data pipelines and how you’ve tackled challenges in previous roles. Keep it engaging and personal!
Showcase Continuous Learning: We love candidates who are eager to learn! Mention any recent courses, certifications, or projects that demonstrate your commitment to staying updated in the tech world. It shows us you’re ready to grow with us.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Vortexa
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around data pipelines. Be ready to discuss your previous projects and how you tackled challenges related to uptime and fault tolerance.
✨Understand Distributed Systems
Familiarise yourself with the principles of distributed systems. Be prepared to explain how you've implemented these concepts in past roles, as this will show your depth of knowledge and experience.
✨Show Your Passion for Learning
Since the company values continuous learning, think of examples where you've taken the initiative to learn new technologies or improve your skills. This could be through online courses, personal projects, or attending workshops.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's tech stack, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
