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- Tasks: Design and maintain a global data lakehouse for trading desks.
- Company: Join a high-performing systematic hedge fund in London.
- Benefits: Enjoy competitive salary, professional growth, and a collaborative culture.
- Why this job: Work with cutting-edge tech and make impactful data-driven decisions.
- Qualifications: Experience in Python, SQL, AWS, and scalable data platforms required.
- Other info: Ideal for proactive individuals passionate about data and innovation.
The predicted salary is between 57600 - 84000 £ per year.
We are seeking a skilled senior data engineer to join a dynamic team in London responsible for building a global and scalable data lakehouse which will be used by multiple trading desks at the fund. This role offers the opportunity to work with cutting-edge technologies and collaborate with multiple trading teams to drive data-driven decision-making.
Key Responsibilities:
- Design, develop, and maintain a robust data lakehouse solution for use by multiple trading desks.
- Collaborate with trading teams to understand their data needs and provide tailored solutions.
- Implement data pipelines in python using data libraries and cloud software development kits (APIs).
- Optimise performance, data storage and retrieval processes for efficiency and scalability.
- Ensure the data lake and Online Analytical Processing DB (OLAP - Redshift or similar) is able to handle large volumes and highly concurrent data access.
- Ensure data quality, security, and compliance with industry standards.
Requirements:
- Proven experience in data engineering, with a strong focus on Python, SQL, and AWS.
- Demonstrated ability to build and manage scalable data platforms.
- Experience with asynchronous programming for concurrency, scalability, and performance.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively with cross-functional teams.
- A proactive and innovative mindset, with a passion for leveraging data to drive business success.
On offer from the fund:
- Competitive salary and benefits package.
- Opportunity to work in a fast-paced and innovative environment.
- Professional development and growth opportunities.
- A supportive and collaborative team culture.
If you are ready to take your data engineering career to the next level and make a real impact, we would love to hear from you. Apply now to join our team and be part of an exciting journey in the financial sector.
Senior Data Engineer | High Performing Systematic Hedge Fund employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer | High Performing Systematic Hedge Fund
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS and OLAP systems like Redshift. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the finance and data engineering sectors. Attend industry meetups or webinars to connect with people who work at hedge funds or similar organisations. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences in building scalable data platforms. Be ready to share specific examples of how you've optimised data pipelines or improved performance in past roles, as this will demonstrate your capability to handle the responsibilities outlined in the job.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical interviews. Practice coding challenges related to data engineering, particularly in Python and SQL, as this will help you feel more confident and ready to tackle any technical questions during the interview process.
We think you need these skills to ace Senior Data Engineer | High Performing Systematic Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with Python, SQL, and AWS. Use specific examples of projects where you've built scalable data platforms or implemented data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the responsibilities listed, such as collaborating with trading teams and optimising data processes.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight any experience with asynchronous programming and data lakehouse solutions.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and AWS in detail. Bring examples of projects where you've built scalable data platforms or implemented data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the hedge fund's trading strategies and how data plays a role in their decision-making process. This knowledge will help you tailor your answers and show that you're not just a tech expert but also understand the financial implications of your work.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving data engineering problems, especially those related to performance optimisation and data quality. Being able to articulate your thought process will impress the interviewers.
✨Emphasise Collaboration Skills
Since the role involves working closely with trading teams, highlight your experience in cross-functional collaboration. Share examples of how you've successfully communicated complex data needs and delivered tailored solutions in previous roles.
