Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance data platforms by sourcing and integrating vendor datasets for portfolio managers.
- Company: Join Jain Global, a leading hedge fund with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment that values communication and curiosity.
- Why this job: Make an impact in finance by working with cutting-edge data technologies.
- Qualifications: Advanced degree in Computer Science and 4+ years in financial industries required.
The predicted salary is between 60000 - 80000 £ per year.
Jain Global is seeking a Data Engineer to enhance their data platform for portfolio managers. The role involves sourcing, analyzing, and integrating vendor datasets, and implementing automated data quality checks.
Ideal candidates should possess an advanced degree in Computer Science or related fields and have 4+ years in financial industries, including Front Office experience. Proficiency in Python, SQL, and working with cloud platforms such as AWS is essential. Strong communication and curiosity are crucial to excel in this role.
Data Engineer, Hedge Fund Data Platform in London employer: Jain Global
Contact Detail:
Jain Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Hedge Fund Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial industry, especially those working with data platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. This is your chance to demonstrate your expertise in data engineering and how you can enhance a hedge fund's data platform.
✨Tip Number 3
Prepare for interviews by brushing up on your cloud platform knowledge, especially AWS. Be ready to discuss how you've implemented automated data quality checks in past roles – this will show you're the right fit for the job!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer, Hedge Fund Data Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and financial industries. We want to see how your skills in Python, SQL, and cloud platforms like AWS align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've sourced, analysed, or integrated datasets. This will help us understand your hands-on experience and how you tackle real-world challenges.
Communicate Clearly: Since strong communication is key, ensure your application is well-structured and free of jargon. We appreciate clarity and want to see how you can convey complex ideas simply.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Jain Global
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in a financial context. This will show that you not only know the tools but can apply them effectively.
✨Understand the Financial Landscape
Since this role is within a hedge fund environment, it’s crucial to have a solid grasp of financial concepts and how data impacts decision-making. Familiarise yourself with portfolio management processes and be prepared to discuss how data engineering plays a role in enhancing these processes.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach sourcing and integrating vendor datasets or implementing automated data quality checks. This will demonstrate your analytical thinking and practical application of your skills.
✨Communicate Clearly and Confidently
Strong communication is key in this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. Show your curiosity by asking insightful questions about their data platform and how you can contribute to its success.