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- Tasks: Design and build robust data pipelines while ensuring reliability and performance.
- Company: Rapidly growing tech firm in Greater London with a vibrant culture.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Collaborate with industry leaders and push the boundaries of technology.
- Qualifications: Fluency in Python and expertise in distributed systems required.
- Other info: Intellectually stimulating environment with a focus on coaching and development.
The predicted salary is between 43200 - 72000 £ per year.
A rapidly growing technology firm in Greater London is looking for someone to design and build infrastructure for data pipelines while ensuring fault-tolerance and uptime.
The ideal candidate will be fluent in Python and have expertise in distributed systems, along with a passion for coaching others in an intellectually stimulating environment.
This role involves collaboration with top industry minds and the opportunity to push the boundaries of technology in a vibrant and diverse company.
Remote Python Engineer - Data Pipelines & ML employer: Vortexa
Contact Detail:
Vortexa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Python Engineer - Data Pipelines & ML
✨Tip Number 1
Network like a pro! Reach out to folks in the tech community, especially those working with data pipelines and ML. Join relevant online forums or local meetups to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to distributed systems. This will give you an edge and demonstrate your expertise to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and fault-tolerance. Practise coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our vibrant team.
We think you need these skills to ace Remote Python Engineer - Data Pipelines & ML
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in real-world projects, especially in building data pipelines or working with distributed systems.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the role. We love seeing candidates who understand what we’re looking for and can demonstrate their fit.
Share Your Coaching Experience: If you’ve had any experience coaching or mentoring others, be sure to mention it! We value collaboration and knowledge sharing, so let us know how you’ve helped others grow in their tech journey.
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 before the interview. Be prepared to discuss your experience with data pipelines and any specific libraries or frameworks you've used. Practising coding challenges related to Python can also help you feel more confident.
✨Showcase Your Distributed Systems Knowledge
Since the role involves working with distributed systems, be ready to explain your understanding of concepts like fault tolerance and uptime. Think of examples from your past work where you successfully implemented these principles, as real-world applications will impress the interviewers.
✨Prepare for Collaborative Scenarios
This position emphasises collaboration, so expect questions about teamwork and coaching. Prepare anecdotes that highlight your ability to work with others and how you've helped colleagues grow in their roles. This will show that you're not just a tech whiz but also a great team player.
✨Stay Curious and Engaged
The company values innovation and pushing boundaries, so demonstrate your passion for technology. Be ready to discuss recent trends in data engineering and machine learning, and don’t hesitate to ask insightful questions about the company's projects and future directions. This shows your enthusiasm and commitment to the field.
