Principal Python Software Engineer in London

Principal Python Software Engineer in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Cboe

At a Glance

  • Tasks: Build and expand data pipelines for Europe's largest equities exchange using Python.
  • Company: Join Cboe Europe, a leader in trading technology with a collaborative team.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Dynamic environment with global collaboration and mentoring opportunities.
  • Why this job: Lead innovative projects and make a real impact in the financial tech space.
  • Qualifications: Expertise in Python, strong leadership skills, and a passion for software craftsmanship.

The predicted salary is between 70000 - 90000 £ per year.

Cboe Europe is seeking a Principal Python Software Engineer. As part of a small, talented development team, you will help build and expand the data pipeline and event streaming functionality of the largest equities exchange in Europe, as well as our trade reporting facility and other platforms. We are firm believers in the value of testable, maintainable code, pair programming and software craftsmanship; as we expand and grow our product suite, we need an experienced engineer with strong leadership skills to help us grow.

Responsibilities

  • Working closely with our business development and sales teams to develop innovative new products and features for our exchanges.
  • Designing and building highly reliable, highly testable Python systems to support Cboe Europe’s trading operations.
  • Leading complex projects including:
    • Meet regularly with team members and management to discuss project progress and operational correctness/efficiency.
    • Manage the involvement of developers across multiple Cboe systems and/or other developers both in Europe and the United States.
    • Participate in various R&D projects to identify and implement promising new technologies.
    • Providing mentoring for other developers (worldwide when necessary).
    • Leading others in debugging of complicated engineering and operational problems.
    • Providing operational support for Cboe Europe’s trading systems by participating in a production support rota, responding to incidents in line with Cboe’s Incident Management and Response processes, and contributing to post-mortem analyses and follow-up actions.

Qualifications & Skills

  • Degree in Computer Science or related field preferred.
  • Preferred: Familiarity with data pipeline platforms such as Apache Airflow.
  • Preferred: Familiarity with PostgreSQL and Snowflake.
  • Solid knowledge of algorithms and data structures.
  • Expert Python knowledge.
  • Highly preferred: Experience with TDD, BDD or other testing methodologies.
  • Preferred: Familiarity with event streaming platforms such as Apache Kafka.
  • Proficiency with advanced SQL techniques.
  • Preferred: Experience in one or more relevant financial areas (market data, order management, algorithmic trading, financial systems integration, compliance, etc.).
  • Deep Linux knowledge.
  • Preferred: Familiarity with Java.
  • Preferred: Familiarity with Web Frameworks such as Django, Flask or FastAPI.
  • A commitment to writing testable, maintainable code.

Principal Python Software Engineer in London employer: Cboe

Cboe Europe is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Principal Python Software Engineer, you will be part of a talented team dedicated to building cutting-edge trading systems, with ample opportunities for professional growth and mentorship. Located in the heart of Europe's financial hub, we provide a culture that values software craftsmanship and encourages continuous learning, making it an ideal place for those seeking meaningful and rewarding employment.

Cboe

Contact Details:

Cboe Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Python Software Engineer in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Cboe or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Cboe.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Cboe.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Cboe that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Principal Python Software Engineer in London

Python
Data Pipeline Development
Event Streaming
Test-Driven Development (TDD)
Behaviour-Driven Development (BDD)
PostgreSQL
Snowflake

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Cboe.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cboe and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Cboe

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Cboe uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.