At a Glance
- Tasks: Design and maintain market data pipelines for real-time crypto trading.
- Company: Fasanara, a leading firm in the heart of Greater London.
- Benefits: Competitive bonus scheme, enhanced leave, and health plans.
- Other info: Collaborate with experts and grow your career in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of crypto trading.
- Qualifications: Strong data engineering skills with proficiency in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Fasanara in Greater London is looking for a Data Engineer to design and maintain critical market data pipelines. You will collaborate with quantitative researchers and trading teams to ensure data integrity and availability for trading strategies.
The ideal candidate has a strong background in data engineering along with proficiency in Python and SQL.
The position includes a competitive bonus scheme and other benefits including enhanced leave and health plans.
Real-Time Crypto Data Engineer for Alpha Research employer: Fasanara
Fasanara is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters collaboration between data engineers and trading teams. With a strong emphasis on employee growth, competitive bonuses, and comprehensive health plans, Fasanara provides a rewarding environment for those looking to make a significant impact in the world of crypto data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Crypto Data Engineer for Alpha Research
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto 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 data pipelines or any relevant projects. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled data integrity issues in the past. We want to see your problem-solving chops!
✨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 take that extra step.
We think you need these skills to ace Real-Time Crypto Data Engineer for Alpha Research
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position at Fasanara and how you can contribute to the team. Keep it concise but impactful – we love a good story!
Showcase Your Collaboration Skills:Since you'll be working closely with quantitative researchers and trading teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can fit into our dynamic environment!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application 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 Fasanara
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with designing and maintaining data pipelines, as well as your proficiency in Python and SQL. Prepare examples of past projects where you've successfully implemented these skills.
✨Understand the Trading Landscape
Familiarise yourself with how market data impacts trading strategies. Research Fasanara's approach to trading and think about how your role as a Data Engineer will support their quantitative researchers and trading teams. This knowledge will show your genuine interest in the company and its operations.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. Practice coding challenges in Python and SQL, and be ready to explain your thought process. This will demonstrate your analytical skills and ability to work under pressure.
✨Showcase Your Collaboration Skills
Since you'll be working closely with researchers and traders, highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated in the past, and be ready to discuss how you can bridge the gap between data engineering and trading strategies.
