Join a world leading Trading firm. Technology is not a department; it’s at the heart of everything they do. A mixture of industry-standard tools and frameworks together with powerful in-house technologies give them an edge in providing world-class solutions and adapting constantly to the trading world.

The Data Engineering team comprises software and system engineers, and is responsible for a multi-petabyte in-house data platform that drives a huge range of trader analysis, simulation, reporting and insights. They operate and develop pipelines to collect and store a wide variety of data published from trading systems, alongside query engines and access APIs to use it, using a mixture of open-source and custom implementations as needed.

The Data Engineering stack is built on Kubernetes, Kafka, and HDFS, with a range of custom developments. Most users work with Python & Pandas (in Jupyterhub or custom apps), or Java. SQL queries are used to push filtering and aggregation upstream. A range of tools and frameworks allow us to provide the scale and functionality demanded.

This is a front-line role; all information and insights you enable are critical to the operation of the business.

Who You Are:

• An experienced and enthusiastic Python engineer with strong Pandas familiarity and experience; knowledge of other languages is useful (Java, Golang)
• Driven to improve quality, maintainability and scalability of data-processing systems and frameworks
• Motivated to work with various internal users and able to uncover and understand their actual business needs
• Able to balance short-term solutions with more maintainable ones
• Familiar with SQL, Kafka, Kubernetes, and Jupyterhub
• Enjoy working in a collaborative environment both locally and across borders with other offices
• Strong verbal and written communicator
• Natural eye for quality and driven to continuously look for ways to improve

What You’ll Do:

You will help to build and improve the Python environments, tools and frameworks that allow other teams to perform their data analysis tasks. You’ll work both within the Data Engineering team, and directly with users of the platform on trading desks and other departments to help them maximise their capability.

Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between rapid progress, maintainability, scale and throughput, and to enable the trading and technology teams to achieve their data analysis goals. You’ll be given the freedom to plan how to build and improve frameworks.

While a resume is preferable we also welcome tentative inquiries from well-qualified persons. Utmost confidentiality and discretion are assured. If interested, please email [email protected]