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- Tasks: Build and maintain data infrastructure for a trading data platform.
- Company: Leading investment management firm in Greater London.
- Benefits: Competitive salary and opportunities for personal and professional growth.
- Why this job: Join a dynamic team and make an impact on trading data systems.
- Qualifications: Degree in a quantitative discipline and strong Python skills.
- Other info: Exciting environment with potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading investment management firm in Greater London is seeking a talented Data Engineer to join its growing data team. The ideal candidate will build and maintain data infrastructure and ensure data quality across systems.
Responsibilities include:
- Contributing to a mission-critical data platform for trading
- Optimizing data delivery
- Writing clean code
A degree in a quantitative discipline and strong Python skills are essential. The position offers a competitive salary and opportunities for personal and professional growth.
Data Engineer: Trading Data Platform & Pipelines employer: Boothbay Fund Management LLC
Contact Detail:
Boothbay Fund Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Trading Data Platform & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the investment management sector, especially those working with data. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with data infrastructure and quality assurance. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨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, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Engineer: Trading Data Platform & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data infrastructure and Python skills. We want to see how your background aligns with the role of a Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our trading data platform. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, make sure to mention any specific tools or technologies you’ve worked with that relate to data delivery and quality. We’re keen on seeing your technical prowess, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Boothbay Fund Management LLC
✨Know Your Data
Make sure you brush up on your knowledge of data infrastructure and quality assurance. Be ready to discuss how you've built or maintained data systems in the past, and think about specific examples where you optimised data delivery.
✨Show Off Your Python Skills
Since strong Python skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code beforehand.
✨Understand the Trading Environment
Familiarise yourself with the trading data landscape. Knowing how data impacts trading decisions can set you apart. Research the firm’s trading strategies and think about how your role as a Data Engineer fits into that picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the data platform, and the challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
