Senior Python Engineer - Data Engineering

OUR TEAM

We now operate globally from offices in Europe, the US and Asia Pacific. Our employees work closely together in multidisciplinary teams, making our success possible.

Technology - At IMC, technology is not a department, it is at the heart of everything we do. Our technologists push the limits of possibility, and then look beyond. In our fast-paced environment, short feedback loops mean projects worked on in the morning can enter production the next day.

Trading – Although our traders come from many backgrounds they all have one thing in common: they are at their best solving complex problems. Their insight into global events, market shifts and pricing ensure we are trading in the right place, at the right time.

Business Support - Around the world, IMC’s business support teams are essential for sustaining our success. In our dynamic environment, we have many exciting challenges and multidisciplinary opportunities to shape our operations and make a real impact.

OUR CULTURE

Our employees are our greatest asset so we give them lots of responsibility and the support they need to make a difference. Our flat structure fosters a culture of openness and collaboration, encouraging the sharing of ideas and knowledge. It makes no difference if you have been with us for three days or three years, the best idea wins.

While we work hard, we also have a lot of fun; whether solving complex challenges or in team building, leisure and sporting activities. IMC also enables its employees to contribute towards a better society through our foundation.

At IMC, technology is not a department; it’s at the heart of everything we do. A mixture of industry-standard tools and frameworks together with powerful in-house technologies give us 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. We 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.

OUR TECHNOLOGY STACK

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 our 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 our 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 our trading and technology teams to achieve their data analysis goals. You’ll be given the freedom to plan how to build and improve frameworks.

OUR HIRING PROCESS

To set you up for success, you can find our hiring process including tips on applying and interviewing with us on our website. Now it’s up to you! Apply today to start an amazing journey with IMC.