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- Tasks: Work on ETLs and manage data processes in a collaborative environment.
- Company: Join a cutting-edge hedge fund known for its tech-savvy approach and great work-life balance.
- Benefits: Enjoy a flexible work culture with opportunities for growth and learning.
- Why this job: Make an impactful move into the hedge fund space while valuing your skills over experience.
- Qualifications: Strong development background with expertise in SQL and Python; outstanding academic record preferred.
- Other info: No up-to-date CV required to apply!
The predicted salary is between 43200 - 72000 £ per year.
This hedge fund is known for its incredible use of technology, work life, and collaboration. You'll be someone who comes from a strong development background, working on ETLs and passionate about all things data related. You should come from an outstanding academic background and excellent data engineering skills, but haven't quite ventured into the hedge fund space. Why not make that move now? Join a firm that values your mind over your experience. Preferably, you're an expert with SQL and Python. If this sounds like you - get in touch. No up-to-date CV required.
Data Engineer - Hedge Fund employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Hedge Fund
✨Tip Number 1
Familiarise yourself with the hedge fund industry and its specific data needs. Understanding how data is used in investment strategies can give you an edge during discussions.
✨Tip Number 2
Network with professionals already working in hedge funds or similar financial institutions. Attend industry events or join online forums to gain insights and make connections that could help you land the job.
✨Tip Number 3
Brush up on your SQL and Python skills by working on relevant projects or contributing to open-source initiatives. Demonstrating your technical prowess through practical examples can impress potential employers.
✨Tip Number 4
Prepare to discuss your development background in detail, focusing on your experience with ETLs and data processing. Be ready to explain how your skills can translate into the hedge fund environment.
We think you need these skills to ace Data Engineer - Hedge Fund
Some tips for your application 🫡
Highlight Your Development Background: Make sure to emphasise your strong development background in your application. Detail your experience with ETLs and any relevant projects that showcase your data engineering skills.
Showcase Your Technical Skills: Since the role requires expertise in SQL and Python, include specific examples of how you've used these technologies in your previous work or projects. This will demonstrate your capability and passion for data.
Focus on Academic Achievements: Given the emphasis on an outstanding academic background, mention your educational qualifications prominently. Include any relevant coursework or projects that relate to data engineering.
Express Your Interest in the Hedge Fund Space: Even if you haven't worked in a hedge fund before, convey your enthusiasm for making the transition. Explain why you're interested in this sector and how your skills can contribute to their innovative use of technology.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you've successfully implemented ETL processes, as this will demonstrate your technical prowess and problem-solving abilities.
✨Understand the Hedge Fund Landscape
Even if you haven't worked in a hedge fund before, do some research on how they operate and the role of data engineering within that context. This will show your enthusiasm for the industry and your willingness to learn.
✨Emphasise Collaboration
Since the company values collaboration, be ready to discuss how you've worked effectively in teams in the past. Share specific examples of how you contributed to group projects and how you handle differing opinions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's technology stack, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
