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- Tasks: Lead a team of engineers and drive data initiatives in trading systems.
- Company: A top-tier trading firm based in London with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities to influence global trading strategies.
- Why this job: Make a real impact on trading strategies while working with cutting-edge data technology.
- Qualifications: Deep experience in big data, Python expertise, and knowledge of financial markets.
- Other info: Join a high-performance environment with great career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading diversified trading firm in London is seeking a Data Engineering Lead to spearhead data initiatives in a high-performance environment. This role involves leading a team of engineers while staying closely engaged in technical work.
Candidates should have deep experience in big data, strong expertise in Python, and a background in financial markets. This is a unique opportunity to directly influence trading strategies across global markets, making it ideal for data leaders passionate about technology.
Lead Data Engineer for Trading Systems (Remote) in London employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer for Trading Systems (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and data engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your big data projects, especially those related to financial markets. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and big data concepts. 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 noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer for Trading Systems (Remote) in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects you've worked on, especially those that relate to big data and financial markets. This will help us understand your passion and expertise.
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python and any leadership roles you've held. We want to see how your background aligns with our needs, so don’t be shy about showcasing your relevant skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be sure to mention your experience in trading systems and how you can influence trading strategies. Keep it engaging and personal – we love to see your personality shine through!
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 the role. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Data Inside Out
Make sure you brush up on your big data knowledge and be ready to discuss specific technologies you've worked with. Be prepared to explain how you've used Python in past projects, especially in relation to financial markets.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead a team. Think of examples where you've successfully managed projects or mentored others. Highlight your approach to fostering collaboration and innovation within your team.
✨Understand the Trading Landscape
Familiarise yourself with current trends in trading systems and how data engineering plays a role in shaping strategies. Being able to discuss recent developments in the financial markets will show your passion and understanding of the industry.
✨Prepare for Technical Challenges
Expect technical questions that test your problem-solving skills. Practice coding challenges in Python and be ready to discuss your thought process. This will help you demonstrate not just your technical expertise but also your analytical thinking.
