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- Tasks: Lead the creation of an automated data platform for a hedge fund.
- Company: Join a top multi-strategy hedge fund in central London.
- Benefits: Work in a dynamic environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of data engineering, impacting trading strategies and research.
- Qualifications: Bachelor's or Master's in Computer Science; 4+ years in Python data infrastructure.
- Other info: Collaborate with traders and researchers to drive alpha generation.
The predicted salary is between 48000 - 72000 £ per year.
A leading multi-strategy hedge fund in central London seeks a highly skilled Python Data Engineer to spearhead the development of an automated data platform, enhancing alpha generation and exploration.
Responsibilities:
- Collaborate with traders and quantitative researchers to identify data requirements and design data pipelines supporting research and trading activities.
- Develop and maintain data infrastructure using Python and associated technologies.
- Establish and manage data processing workflows, ETL pipelines, and data warehousing solutions.
- Collaborate closely with data scientists to develop models and algorithms for generating alpha signals.
- Monitor and uphold data quality, ensuring accuracy and completeness.
- Continuously assess and optimize data infrastructure to accommodate new data sources, research methodologies, and trading strategies.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Minimum of 4 years experience in developing data infrastructure using Python and related technologies.
- Solid grasp of data structures, algorithms, and databases.
- Preferable experience with distributed computing, such as Kafka.
- Experience working with quantitative researchers and traders is advantageous.
- Strong problem-solving abilities and meticulous attention to detail.
- Excellent communication skills and adeptness in collaborating with cross-functional teams.
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Data Engineer employer: Disruptive DataTech
Contact Detail:
Disruptive DataTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Python and data infrastructure in your conversations. Highlight specific projects where you've developed ETL pipelines or worked on data warehousing solutions, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the hedge fund's trading strategies and research methodologies. This knowledge will help you engage more effectively with traders and quantitative researchers during interviews, demonstrating your understanding of their needs.
✨Tip Number 3
Prepare to discuss your problem-solving approach in detail. Be ready to share examples of how you've tackled challenges in data processing workflows or improved data quality, as this will highlight your analytical skills and attention to detail.
✨Tip Number 4
Network with professionals in the finance and data engineering sectors. Attend relevant meetups or webinars to connect with individuals who may have insights into the company culture and expectations, which can give you an edge in the application process.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data infrastructure development. Include specific projects or roles where you collaborated with traders or quantitative researchers, as this is crucial for the position.
Craft a Compelling Cover Letter: In your cover letter, emphasize your problem-solving skills and attention to detail. Discuss how your background aligns with the responsibilities of developing automated data platforms and managing ETL pipelines.
Showcase Relevant Experience: When detailing your work history, focus on your experience with data structures, algorithms, and databases. If you have worked with distributed computing technologies like Kafka, make sure to mention that as well.
Highlight Collaboration Skills: Since the role involves working closely with cross-functional teams, provide examples of past collaborations with data scientists or traders. This will demonstrate your ability to communicate effectively and work in a team-oriented environment.
How to prepare for a job interview at Disruptive DataTech
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've developed data infrastructure, focusing on the technologies you used and the challenges you overcame.
✨Understand Data Pipelines
Familiarize yourself with the concepts of ETL pipelines and data warehousing solutions. Be ready to explain how you've designed and managed these processes in previous roles, as this is crucial for the position.
✨Collaborate Effectively
Since collaboration with traders and quantitative researchers is key, think of examples where you've successfully worked in cross-functional teams. Emphasize your communication skills and how you ensure everyone's data needs are met.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific instances where you've tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical thinking.
