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- Tasks: Architect and build a cutting-edge Equity Data Platform using Python.
- Company: Join a leading global Investment Bank with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for career advancement.
- Why this job: Lead a new team and shape the future of data strategy in finance.
- Qualifications: Strong Python experience and excellent communication skills required.
- Other info: Dynamic role in a high-performance environment with growth potential.
The predicted salary is between 60000 - 84000 £ per year.
A leading global Investment Bank is seeking a Lead Python Engineer to architect a greenfield Equity Data Platform. In this hands-on role, you will build high-performance data pipelines and services while collaborating with trading and quant teams. The opportunity includes leading a new engineering team and shaping the data strategy. Strong experience in Python and high-performance environments is required, along with excellent communication skills. This is a hybrid position based in London.
Director, Python Data Platform for Equities (Hybrid London) employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Python Data Platform for Equities (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at investment banks or in data engineering roles. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data pipelines or high-performance environments. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and data architecture principles. Practice coding challenges and be ready to explain your thought process clearly – communication is key in this role!
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Director, Python Data Platform for Equities (Hybrid London)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in high-performance environments, so share specific examples of projects or challenges you've tackled.
Communicate Clearly: Since excellent communication skills are a must, ensure your application is clear and concise. We appreciate straightforward language that gets to the point, so avoid jargon unless it's necessary.
Tailor Your Application: Don’t just send a generic application! We love when candidates take the time to tailor their CV and cover letter to our job description. Highlight your relevant experience and how it aligns with building a greenfield Equity Data Platform.
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’re considered for this exciting opportunity in our hybrid London team!
How to prepare for a job interview at Huxley
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with high-performance data pipelines and any specific projects you've worked on. They’ll want to see how you can apply your knowledge in a practical setting.
✨Understand the Equity Data Landscape
Familiarise yourself with the current trends and challenges in equity data platforms. Being able to discuss how you would approach building a greenfield platform will show that you’re not just technically skilled but also strategic in your thinking.
✨Showcase Your Leadership Skills
Since this role involves leading a new engineering team, be prepared to talk about your leadership style and past experiences. Think of examples where you’ve successfully led a team or project, and how you plan to shape the data strategy moving forward.
✨Communicate Clearly and Confidently
Excellent communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you’ll need to collaborate with trading and quant teams. Clear communication can set you apart from other candidates.
