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- Tasks: Build and maintain data pipelines while supporting the entire data lifecycle.
- Company: Join an elite hedge fund in London known for its data-driven strategies.
- Benefits: Enjoy a dynamic work environment with opportunities for skill expansion.
- Why this job: Be part of a fast-growing team that values innovation and collaboration.
- Qualifications: Strong Python skills and familiarity with cloud platforms required; 2-5 years experience preferred.
- Other info: Ideal for fast learners eager to tackle challenges in a leading industry.
The predicted salary is between 36000 - 60000 £ per year.
We are currently working on behalf of an elite, boutique, long short equity hedge fund based in London who are actively seeking to add to their growing data team. Their strategy is highly data driven, and they are looking for someone with a strong grasp of the fundamentals of programming who is looking to expand their skillset.
The role:
- Building and maintaining data pipelines
- Working with the Head of Data Engineering and wider team to support the entire data lifecycle
- Delivering clean and reliable data to support analytics and reporting
- Writing maintainable code in collaboration with the team
The requirements:
- Strong knowledge of Python and familiarity with cloud platforms
- Understanding of software engineering platforms
- Fast learner who is eager to take on a challenge
- 2-5 years’ relevant experience, not necessarily in the investment management industry
If this role suits your experience and motivations and you would be interested in joining a fast growing and industry leading team, please apply for this role by sending your CV in WORD format to quantresearch@octaviusfinance.com.
Junior Data Engineer- Hedge Fund- London employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer- Hedge Fund- London
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies used in hedge funds. Research common data engineering practices in the finance sector to demonstrate your understanding during interviews.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those in data roles. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Prepare to discuss your programming projects in detail, particularly those involving Python. Be ready to explain your thought process and the challenges you faced, as this will showcase your problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud platforms. Being knowledgeable about current technologies will not only help you in interviews but also show your enthusiasm for the role.
We think you need these skills to ace Junior Data Engineer- Hedge Fund- London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills, particularly in Python, and any experience with cloud platforms. Emphasise relevant projects or roles that demonstrate your ability to build and maintain data pipelines.
Showcase Your Learning Ability: Since the company is looking for a fast learner, include examples of how you've quickly adapted to new technologies or challenges in previous roles. This could be through specific projects or courses you've undertaken.
Highlight Team Collaboration: Mention any experiences where you worked collaboratively on coding projects or data-related tasks. This will show that you can write maintainable code and work well within a team, which is crucial for this role.
Craft a Strong Cover Letter: Although not explicitly requested, a cover letter can set you apart. Use it to express your enthusiasm for the role and the company, and explain why you're a great fit for their data-driven strategy.
How to prepare for a job interview at Octavius Finance
✨Showcase Your Programming Skills
Make sure to highlight your proficiency in Python during the interview. Be prepared to discuss specific projects where you've used Python to build or maintain data pipelines, as this will demonstrate your technical capabilities.
✨Familiarity with Cloud Platforms
Since the role requires familiarity with cloud platforms, brush up on your knowledge of services like AWS or Azure. Be ready to discuss how you've used these platforms in past projects or how you would approach using them in this role.
✨Emphasise Your Learning Agility
The company is looking for a fast learner eager to take on challenges. Share examples from your past experiences where you've quickly adapted to new technologies or methodologies, showcasing your ability to grow and learn in a dynamic environment.
✨Collaboration is Key
As you'll be working closely with the Head of Data Engineering and the wider team, emphasise your teamwork skills. Prepare to discuss how you've successfully collaborated with others in previous roles, particularly in writing maintainable code and supporting the data lifecycle.
