Senior Data Engineer | High Performing Systematic Hedge Fund

Selby Jennings; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

An established industry player is seeking a skilled Senior Data Engineer to join their dynamic team in London. This exciting role involves building a global data lakehouse for multiple trading desks, utilizing cutting-edge technologies. The ideal candidate will have a strong background in Python, SQL, and AWS, and will thrive in a fast-paced, innovative environment. If you are passionate about leveraging data to drive business success and want to make a significant impact in the financial sector, this opportunity is perfect for you.

Benefits

Competitive salary and benefits package

Professional development opportunities

Supportive team culture

Qualifications

• Proven experience in data engineering with a strong focus on Python, SQL, and AWS.
• Demonstrated ability to build and manage scalable data platforms.

Responsibilities

• Design and maintain a robust data lakehouse solution for trading desks.
• Collaborate with teams to understand data needs and provide tailored solutions.

Skills

Python

SQL

AWS

Asynchronous Programming

Problem-Solving

Communication Skills

Job description

Senior Data Engineer | High Performing Systematic Hedge Fund

Senior Data Engineer | High Performing Systematic Hedge Fund

This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Selby Jennings

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 acess.
• 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 plaforms.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Investment Management

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