Front Office Software Engineer Internship (Summer 2027)

Castleton Commodities International; Greater London; On-site; GBP 22,000 - 28,000; Full time

Job summary

Castleton Commodities International is seeking motivated Data Science & Technology Interns for its London office. You will work on building real-time trading tools, data analytics, and visualization interfaces using Python, AWS, and modern data platforms.

The role involves collaborating with Software Engineers, Data Scientists, and Trading users to deliver impactful analytics, pricing tools, and automation within a fast-paced environment.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, MIS, or related field.
• Strong programming experience in Python and familiarity with Pandas/NumPy.
• Familiarity with version control tools (Git) and software development best practices.
• Strong problem-solving abilities and interest in financial markets and trading systems.
• Excellent communication and ability to work in a fast-paced, collaborative environment.

Responsibilities

• Contribute to development of front office software tools supporting real-time trading and analytics.
• Work with trading teams to optimize pricing models and trading workflows.
• Build and enhance Python-based microservices and APIs for data access and automation.
• Develop data visualization dashboards using libraries like Streamlit with KPIs and price analytics.
• Participate in cloud-native development using AWS, Kubernetes, and Kafka.
• Assist DevOps tasks including automated deployments using Git, Docker, and CI/CD.

Skills

Problem-solving

Communication

Teamwork

Education

Bachelor’s or Master’s degree in CS/Engineering/MIS or related

Tools

Python

AWS

Kubernetes

Kafka

Docker

Git

Streamlit

Snowflake

Job description

Application Deadline: September 1st, 11:59pm EST
Program Summary - Data Science & Technology Internship
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge analytics platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our London office

• This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You\'ll collaborate closely with other Software Engineer’s, Data Scientist’s, and Commercial end users, contributing to our front office platform through hands-on development projects using Python, cloud technologies (AWS), APIs, and Snowflake.

Responsibilities:

• Contribute to the development of front office software tools that support real-time trading, market data analytics, and visualization.
• Work with the commercial trading team to optimize and re-engineer pricing models, decision tools, and trading workflows.
• Build and enhance Python-based microservices and APIs for internal data access and operations automation.
• Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics.
• Participate in cloud-native application development using AWS services, including Kubernetes and Kafka.
• Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines).
• Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows.

Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Management Information Systems, or related technical field of study.
• Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
• Familiarity with version control tools (e.g., Git) and software development best practices.
• Strong problem-solving abilities and an eagerness to learn about financial markets and trading systems.
• Excellent communication skills and ability to work in a fast-paced, collaborative environment.