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- Tasks: Design and build robust data pipelines using Python for real-time processing.
- Company: Fast-growing tech company in the UK with a focus on innovation.
- Benefits: Flexible working policy, private health insurance, and equity options.
- Why this job: Join a dynamic team and enhance your skills in cutting-edge data technology.
- Qualifications: Experience in Python and distributed systems, with a passion for learning.
- 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:
- Flexible working policy
- Private health insurance
- Opportunities for equity options in the company
Senior Python Engineer — Real-Time Data Pipelines in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We can’t stress enough how personal connections can give you the inside scoop on the company culture and even lead to referrals.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repositories, make sure to highlight them during interviews. We want to see your real-time data pipeline magic in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on distributed systems and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 in London
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 the past. We love hearing about your continuous learning journey!
Showcase Relevant Projects: If you've worked on any projects that involved designing or building data pipelines, make sure to mention them. We’re keen to see practical examples of your work and how you ensure uptime and fault tolerance.
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 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
This role values continuous learning, so be ready to share how you keep your skills sharp. Mention any recent courses, certifications, or personal projects that demonstrate your commitment to growth in the field.
✨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.
