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- Tasks: Build and maintain data ingestion processes that drive investment decisions.
- Company: Join a leading Global Hedge Fund in the heart of London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Collaborate with investment teams and influence key decision-making.
- Why this job: Make a real impact on financial strategies with cutting-edge data technology.
- Qualifications: 5+ years of data engineering experience and proficiency in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Our client is a leading Global Hedge Fund who are looking to hire a Data Engineer to join their London Office. You will work closely with investment and business teams, building and maintaining thousands of data ingestion processes and owning the platforms that monitor these processes. The processes feed investment decisions and help to model the fund's view of the financial world.
Responsibilities:
- Building Data Ingestion Pipelines and Platforms.
- Building reliable, scalable, and flexible systems.
- Explore the Data, identifying features and issues and articulating the results to Front Office teams.
- Influence Opinion and decision-making across Data Management.
Skills:
- Python
- SQL / Pandas / Snowflake / Elasticsearch
- Airflow / Spark
Requirements:
- 5+ years of relevant data engineering experience post-graduation.
Data Engineer - Hedge Fund employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Hedge Fund
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at hedge funds. 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 ingestion pipelines or any relevant projects. This gives you a chance to demonstrate your expertise in Python, SQL, and other tools directly to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data engineering concepts. Practice coding challenges and be ready to discuss how you've built scalable systems in the past.
✨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 get noticed by hiring managers.
We think you need these skills to ace Data Engineer - Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant tools like Snowflake or Spark. We want to see how your skills align with the role, so don’t be shy about showcasing your data engineering projects!
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 our hedge fund. Share specific examples of how you've built data ingestion pipelines or influenced decision-making in previous roles.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex data issues or improved existing systems. We love seeing how you approach challenges, especially when it comes to building reliable and scalable solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll make sure your application gets into the right hands!
How to prepare for a job interview at Aurum Search Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the tools mentioned like Pandas, Snowflake, and Elasticsearch. Brush up on your knowledge of Airflow and Spark too, as they’ll likely come up in technical discussions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in building data ingestion pipelines. Use the STAR method (Situation, Task, Action, Result) to clearly articulate how you approached these issues and what the outcomes were.
✨Understand the Business Context
Since you’ll be working closely with investment teams, it’s crucial to understand how data influences investment decisions. Familiarise yourself with basic financial concepts and be ready to discuss how your work can impact the fund's view of the financial world.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data management practices and how they envision the role evolving. This shows your genuine interest and helps you gauge if the company is the right fit for you.