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- Tasks: Transform raw data for investment analysis and collaborate with tech teams.
- Company: Leading financial services firm in London with a focus on innovation.
- Benefits: Competitive salary, bonus potential, and family-friendly benefits.
- Why this job: Join a dynamic team and make an impact in the hedge fund industry.
- Qualifications: Strong Python and SQL skills, plus a STEM degree from a top university.
- Other info: Full-time office-based role with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A financial services firm in London seeks a Data Engineer with strong Python and SQL skills. The role involves transforming raw data for investment analysis, developing documentation, and collaborating with tech teams.
Candidates should have a minimum of 2.1 in a STEM discipline from a top university and experience in a similar role at a Hedge Fund.
This is a full-time office-based position with competitive salary and bonus potential, plus family-friendly benefits.
Data Engineer: Python, SQL & Spark – Hedge Fund Impact employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Python, SQL & Spark – Hedge Fund Impact
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python, SQL, and Spark projects. This is your chance to demonstrate how you've transformed raw data into actionable insights, just like you'd be doing at the hedge fund.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. Be ready to discuss your experience with data transformation and collaboration with tech teams. We want to see how you can fit into their culture and contribute to their goals!
✨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 and engaged with our platform.
We think you need these skills to ace Data Engineer: Python, SQL & Spark – Hedge Fund Impact
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in previous roles, especially in a Hedge Fund environment.
Tailor Your CV: Don’t just send out the same CV for every job. Tailor it to this specific role by emphasising your experience with data transformation and investment analysis. We love seeing candidates who take the time to personalise their applications!
Documentation is Key: Since the role involves developing documentation, mention any experience you have in this area. We appreciate candidates who understand the importance of clear and concise documentation in tech projects.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Spark skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Financial Landscape
Since this role is with a hedge fund, it’s crucial to have a grasp of financial concepts and how data impacts investment decisions. Familiarise yourself with recent trends in the financial services sector to show that you’re not just a tech whiz but also understand the business side.
✨Prepare for Collaboration Questions
This position involves working closely with tech teams, so expect questions about teamwork and collaboration. Think of examples where you successfully worked with others to achieve a common goal, especially in high-pressure situations.
✨Showcase Your Documentation Skills
The role requires developing documentation, so be prepared to discuss your approach to documenting processes and data transformations. Bring examples if possible, as this will demonstrate your attention to detail and commitment to best practices.
