Senior Python Engineer - Real-Time Data & Observability in London
Senior Python Engineer - Real-Time Data & Observability

Senior Python Engineer - Real-Time Data & Observability in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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OpenSource

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 quick delivery and problem-solving.
  • Benefits: Autonomy, competitive salary, and the chance to work on high-impact systems.
  • Other info: Opportunity for growth in a collaborative engineering team.
  • 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.

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 in London employer: OpenSource

Join a dynamic software company in London that champions innovation and collaboration, offering a vibrant work culture where your contributions directly impact high-stakes projects. With a focus on employee growth, you will have access to continuous learning opportunities and the autonomy to drive your own initiatives in a fast-paced environment. Enjoy the unique advantage of working in one of the world's tech hubs, surrounded by like-minded professionals who are passionate about real-time data solutions.
OpenSource

Contact Detail:

OpenSource Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Python Engineer - Real-Time Data & Observability in London

✨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 related to 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 and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills. The more confident you are, the better you'll perform!

✨Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly shows your enthusiasm and commitment to joining our team.

We think you need these skills to ace Senior Python Engineer - Real-Time Data & Observability in London

Python
Real-Time Data Processing
Integration Development
Production Ownership
Problem-Solving Skills
Communication Skills
Software Development
Autonomy
Fast-Paced Environment
Degree in a Relevant Field

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 avoid jargon and get straight to the point about your experiences.

Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their applications to our job description. Mention specific projects or experiences that relate to quick delivery and practical problem-solving.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

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 feeds and integrations, as well as any specific libraries or 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, think about examples where you've effectively communicated complex technical concepts to non-technical stakeholders. Prepare to discuss how you collaborate with team members and share your thought process during problem-solving.

✨Understand the Company’s Focus

Research the company’s products and services, especially those related to real-time data and observability. Being able to speak knowledgeably about their work will show your genuine interest and help you connect your skills to their needs.

✨Prepare Questions That Matter

Have a list of insightful questions ready to ask at the end of the interview. Inquire about their engineering practices, team dynamics, and how they measure success in this role. This not only shows your enthusiasm but also helps you assess if the company is the right fit for you.

Senior Python Engineer - Real-Time Data & Observability in London
OpenSource
Location: London
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