At a Glance
- Tasks: Build integrations and maintain real-time data feeds in a fast-paced environment.
- Company: Dynamic software company in London focused on practical problem-solving.
- Benefits: Autonomy, competitive salary, and the chance to work on high-impact systems.
- Why this job: Join a team where your Python skills can make a real difference.
- Qualifications: Strong Python experience, relevant degree, and excellent communication skills.
- Other info: Opportunity for growth in a collaborative engineering team.
The predicted salary is between 43200 - 72000 £ per year.
A software company in London is seeking a Senior Developer to join their engineering team focused on quick delivery and practical problem-solving.
Key responsibilities include:
- Building integrations and maintaining real-time data feeds
- Production ownership
The ideal candidate has:
- Strong Python experience
- A relevant degree
- Excellent communication skills
This role offers a fast-paced environment with autonomy and the chance to work on high-impact systems.
Senior Python Engineer - Real-Time Data & Observability employer: OpenSource
Contact Detail:
OpenSource Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer - Real-Time Data & Observability
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or in real-time data. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially any that involve real-time data or observability. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to Python and real-time systems. 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 by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Python Engineer - Real-Time Data & Observability
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python experience in your application. We want to see how you've used Python in real-world scenarios, especially in building integrations or maintaining data feeds.
Communicate Clearly: Since excellent communication skills are key for this role, ensure your application is clear and concise. We appreciate straightforwardness, so don’t hesitate to showcase your problem-solving approach in your writing.
Tailor Your Application: Take a moment to tailor your application to the job description. We love seeing candidates who understand our focus on quick delivery and practical solutions, so make sure to reflect that in your experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at OpenSource
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with real-time data processing and any frameworks you've used. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Showcase Your Communication Skills
Since excellent communication is key for this role, prepare to explain complex technical concepts in simple terms. Think of examples where you've successfully collaborated with team members or stakeholders to solve problems.
✨Understand the Company’s Products
Do some research on the company’s existing systems and products. Familiarise yourself with their approach to real-time data feeds and observability. This will not only show your interest but also help you ask insightful questions during the interview.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your practical problem-solving skills. Think about past experiences where you had to troubleshoot issues or implement quick solutions, and be ready to share those stories.