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- Tasks: Join a dynamic team to build a global data lakehouse for trading desks.
- Company: A high-performing systematic hedge fund in London, focused on innovation.
- Benefits: Enjoy a competitive salary, professional development, and a collaborative culture.
- Why this job: Make a real impact using cutting-edge tech in a fast-paced environment.
- Qualifications: Experience in data engineering with Python, SQL, and AWS is essential.
- Other info: Ideal for proactive individuals eager to drive data-driven decisions.
The predicted salary is between 43200 - 72000 £ 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 Python, SQL, and AWS. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨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 with building scalable data platforms. Be ready to share specific examples of how you've optimised performance and handled large volumes of data, as this will demonstrate your capability for the role.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical interviews. Practice coding challenges related to data engineering and be ready to explain your thought process, as this will highlight your analytical abilities and attention to detail.
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. Emphasise any projects where you've built scalable data platforms or worked with data lakehouses.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how it aligns with the role. Mention specific experiences that demonstrate your problem-solving skills and ability to collaborate with cross-functional teams.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work on data-driven decision-making.
Highlight Soft Skills: Don't forget to mention your communication skills and proactive mindset. These are crucial for collaborating with trading teams and ensuring data quality and compliance.
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 past projects where you 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 impacts their decision-making. This knowledge will help you tailor your answers to show how your skills can directly benefit their operations.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Be ready to walk through your thought process on how you would tackle specific data engineering challenges, especially those related to performance optimisation and data quality.
✨Emphasise Collaboration and Communication
Highlight your experience working with cross-functional teams. Share examples of how you've successfully collaborated with trading desks or other departments to meet their data needs, showcasing your ability to communicate complex ideas clearly.
