Senior Data Engineer | High Performing Systematic Hedge Fund

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to join their dynamic team in London. This role offers the chance to build a global and scalable data lakehouse that supports multiple trading desks, utilizing cutting-edge technologies. You will collaborate with trading teams to tailor data solutions, implement efficient data pipelines, and ensure data quality and compliance. Join a fast-paced, innovative environment that values professional development and teamwork, and take your data engineering career to new heights. If you are passionate about leveraging data for business success, this is the opportunity for you!

Benefits

Competitive salary and benefits package

Professional development opportunities

Collaborative team culture

Qualifications

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

Responsibilities

• Design and maintain a robust data lakehouse solution for trading desks.
• Implement data pipelines in Python using cloud SDKs.

Skills

Python

SQL

AWS

Asynchronous Programming

Problem-Solving

Tools

Redshift

Job description

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Senior Data Engineer | High Performing Systematic Hedge Fund, london

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Client:

Selby Jennings

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

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.