At a Glance
- Tasks: Build and expand data pipelines using Python for trading systems.
- Company: Cboe Europe, a leading trading platform with a global presence.
- Benefits: Competitive salary, medical insurance, flexible hours, and educational perks.
- Other info: Collaborative environment with opportunities for growth across Europe and the U.S.
- Why this job: Join a dynamic team and shape the future of trading technology.
- Qualifications: Solid Python skills, SQL knowledge, and algorithm understanding.
The predicted salary is between 50000 - 65000 £ per year.
Cboe Europe is seeking a Python Software Engineer in London to build and expand our data pipeline and event streaming functionality. This role involves designing reliable Python systems and collaborating with teams across Europe and the U.S.
The ideal candidate will have:
- Solid Python knowledge
- An understanding of SQL
- A background in algorithms
We offer a competitive salary, medical insurance, and various perks including flexible working hours and educational opportunities.
Python Engineer — Data Pipelines for Trading in London employer: Cedar Cares, Inc
Cboe Europe is an excellent employer for Python Engineers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth through educational opportunities and a commitment to work-life balance with flexible hours, Cboe fosters a culture of support and development. Join us to be part of a forward-thinking team that values your contributions and encourages professional advancement in the exciting world of trading technology.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer — Data Pipelines for Trading in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Cboe Europe. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with some cool Python projects or data pipelines you've built. This is your chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on algorithms and SQL. We know it sounds boring, but trust us, being ready to tackle technical questions will set you apart from the crowd.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Python Engineer — Data Pipelines for Trading in London
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 scenarios, especially in building data pipelines or event streaming systems.
SQL Knowledge is Key:Don’t forget to mention your understanding of SQL! If you’ve worked with databases or have experience querying data, let us know. It’s a big plus for this role.
Collaborative Spirit:Since we work closely with teams across Europe and the U.S., it’s important to showcase your teamwork skills. Share examples of how you’ve collaborated on projects in the past.
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 updates from us!
How to prepare for a job interview at Cedar Cares, Inc
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with building data pipelines and any specific projects you've worked on. Practising coding challenges related to algorithms can also give you a solid edge.
✨SQL Savvy is Key
Since the role requires an understanding of SQL, be prepared to answer questions about database management and querying. You might want to review common SQL commands and think of examples where you've used SQL in your previous work.
✨Collaboration is Crucial
Cboe Europe values teamwork, so be ready to share experiences where you've collaborated with others. Think about how you’ve worked with teams across different locations and how you handled any challenges that arose during those collaborations.
✨Show Enthusiasm for Learning
With educational opportunities on offer, it’s important to express your eagerness to learn and grow. Share any recent courses or certifications you've pursued, especially those related to Python or data engineering, to show you're proactive about your professional development.
