Senior Data Engineer - Quant Hedge Fund

Selby Jennings; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

An established industry player in the financial sector is seeking a Senior Data Engineer to enhance their London team. This role offers a unique opportunity to work with advanced data systems, leveraging Python and cloud SDKs to build scalable data solutions. You will be at the forefront of creating data lakes and optimizing OLAP databases, contributing to innovative trading strategies. If you have a passion for data and a desire to impact the financial landscape, this position could be your next career move.

Qualifications

• 5+ years of experience in data engineering with a proven track record.
• Mastery of Python and SQL is essential for this role.

Responsibilities

• Build global and scalable Data Lakehouse solutions for trading desks.
• Develop data pipelines in Python and optimize performance.

Skills

Python

SQL

C++

Data Modelling

Cloud Infrastructure

Tools

AWS

Data Libraries

Job description

Senior Data Engineer - Quant Hedge Fund

Selby Jennings London, United Kingdom Apply now Posted 4 days 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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