Job Title:
Full-Stack Software Engineer Intern (12 months) - Starting Summer 2026
Project Title: Digital Product Development for CO₂ Storage Monitoring
About SLB:
We are a global technology company, driving energy innovation for a balanced planet.
At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that has been our mission for 100 years. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer.
Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.
Our purpose: Together, we create amazing technology that unlocks access to energy for the benefit of all. You can find out more about us on
Location:
Abingdon, Oxfordshire
Description & Scope:
Join our team as an intern and contribute to the development of a cutting-edge digital product designed to monitor CO₂ injection and storage operations—a key component in advancing sustainable energy practices.
As part of this project, you will:
1. Work with a state-of-the-art data operations platform to manage and analyze complex sub-surface and environmental multimodal datasets.
2. Collaborate on a low-code front-end framework that enables rapid development of digital solutions for real-world applications.
3. Gain hands-on experience in software development, data engineering, and environmental monitoring technologies.
This internship offers a unique opportunity to apply your academic knowledge in a practical setting, while contributing to impactful work in the field of carbon management and digital innovation.
Responsibilities:
4. Design and develop backend services and front-end web components within a low-code framework to support scalable and user-friendly applications.
5. Build and maintain data transformation pipelines to extract insights from operational datasets.
6. Implement time series forecasting models to proactively alert users about trends that may lead to operational non-conformances.
7. Develop intelligent algorithms that integrate multi-modal subsurface data to detect unhealthy operational conditions and emerging risks
Qualifications:
8. Studying a Bachelors in Computer science Software engineering or a related discipline
9. Programming: NodeJS, typescript, Angular, Python.
10. Azure Dev Ops, Kubernetes, Graph DBs
11. Bonus: Data engineering or data science