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- Tasks: Build and maintain data pipelines while supporting the entire data lifecycle.
- Company: Join a leading boutique hedge fund in London, renowned for its data-driven strategies.
- Benefits: Enjoy a dynamic work environment with opportunities for skill expansion and collaboration.
- Why this job: Be part of a fast-growing team that values innovation and offers real impact in finance.
- Qualifications: Strong Python skills and familiarity with cloud platforms; 2-5 years relevant experience preferred.
- Other info: Ideal for fast learners eager to tackle challenges in a cutting-edge 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 employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies used in the hedge fund industry. Research common data engineering practices and be prepared to discuss how you can apply them in a fast-paced environment.
✨Tip Number 2
Network with professionals in the data engineering field, especially those working in finance or hedge funds. Attend relevant meetups or webinars to gain insights and make connections that could help you stand out during the hiring process.
✨Tip Number 3
Prepare to demonstrate your programming skills, particularly in Python. Consider working on personal projects or contributing to open-source projects that showcase your ability to build and maintain data pipelines.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud platforms. Being knowledgeable about emerging technologies will show your eagerness to learn and adapt, which is crucial for a role in a dynamic team.
We think you need these skills to ace Junior Data Engineer
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.
Craft a Strong Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention your eagerness to learn and take on challenges, as well as how your background aligns with their data-driven strategy.
Showcase Relevant Experience: In your application, include specific examples of your previous work that relate to data engineering. Highlight any experience you have with analytics, reporting, or writing maintainable code, even if it was outside the investment management industry.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which is crucial in a data-focused role.
How to prepare for a job interview at Octavius Finance
✨Showcase Your Python 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 data pipelines or perform data analysis, as this is crucial for the role.
✨Familiarity with Cloud Platforms
Since the company values experience with cloud platforms, brush up on your knowledge of services like AWS or Azure. Be ready to explain how you've used these platforms in past projects or how you would approach using them in this role.
✨Demonstrate Your Learning Agility
As a fast learner, share examples of how you've quickly adapted to new technologies or challenges in previous roles. This will show your potential employer that you're eager to grow and take on new responsibilities.
✨Collaborative Mindset
The role involves working closely with the Head of Data Engineering and the wider team. Be prepared to discuss your experience in collaborative projects and how you ensure your code is maintainable and easy for others to work with.
