Senior Data Engineer - Quant Hedge Fund | London, UK | Hybrid

Selby Jennings; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An innovative quantitative hedge fund is seeking a Senior Data Engineer to join its London team. This role offers the chance to leverage advanced data libraries in Python and cloud SDKs to build and optimize global data lakes. You will tackle complex financial challenges while ensuring data quality and completeness. The ideal candidate will have a strong background in data engineering, with mastery in Python and SQL, and a passion for contributing to cloud infrastructure. This is a unique opportunity to shape the future of financial services within a dynamic and collaborative environment.

Benefits

Guaranteed bonus

Sign-on bonus

Qualifications

• 5+ years of experience in data engineering.
• Proven track record of building data platforms.

Responsibilities

• Build global and scalable Data Lakehouse solutions for trading desks.
• Optimize performance of data lakes and OLAP databases.

Skills

Python

SQL

Data Modelling

Cloud SDKs

C++

Tools

AWS

Job description

Senior Data Engineer - Quant Hedge Fund

Selby Jennings London, United Kingdom Apply now Posted 17 hours ago Hybrid Job Permanent guaranteed bonus + sign on

Quant Hegde Fund - London

Our client, a leading quantitative hedge fund, is searching for its next Senior Data Engineer to join its London-based team. This is a fantastic opportunity to leverage a range of systems, including data libraries in Python and cloud SDKs, and add value in software and infrastructure design in the AWS cloud environment.

In this position, you will use innovative trading expertise to solve the most complex financial challenges and deliver high-quality returns for investors. Your day-to-day work will involve building and scaling global data lakes, optimising performance, and ensuring data completeness and quality. You will also be responsible for modelling large volumes of data for OLAP databases to support tailored data solutions for Quants and Traders.

Key Responsibilities:

• Build global and scalable Data Lakehouse solution used by multiple trading desks
• Contributing to software and infrastructure design and implementation in the AWS cloud environment.
• Developing data pipelines in Python using data libraries and cloud SDKs.
• Data modelling within the scope of Data Lake and OLAP - large volumes and highly concurrent data access.
• Optimising the performance of the data lake as well as OLAP databases in cross-region environment.

Ideal Candidate Profile:

• 5+ years of experience.
• Proven track record of building data platforms.
• Python and SQL mastery are essential.
• C++ knowledge advantageous
• Appetite to contribute to cloud infrastructure.

We support the Financial Sciences & Services industry with talent that can truly shape the future of a business.Whether that be Quantitative Analyti...

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