AI Automation & Data Engineer at Ophelos

At Ophelos, we are redefining how the world approaches debt. We believe in replacing outdated, intimidating industry tactics with a foundation of empathy and understanding. By pioneering an AI-native collections platform, we help individuals navigate their financial challenges with dignity while providing businesses with actionable insights and improved customer experiences. Since our launch in 2021, we have partnered with major UK organizations like Octopus and Scottish Power. Following our 2023 acquisition by Intrum, the largest credit management service in Europe, we are now entering an ambitious growth phase that includes expanding into 17 European markets.

About the Role

We are looking for a Senior AI Automation & Data Engineer to join our team on a full-time basis. This is a unique opportunity to sit at the intersection of data engineering and artificial intelligence. You will be responsible for building the robust data foundations that power our company-wide automation initiatives. Rather than a traditional engineering role, you will be tasked with identifying automation opportunities across the business and using AI-driven tools to build scalable, intelligent systems.

Key Responsibilities

• Design and construct sophisticated data pipelines that fuel our AI automation systems.
• Develop end-to-end automation solutions using Python and workflow automation tools.
• Implement and maintain the data infrastructure required for RAG systems, agentic AI workflows, and real-time processing.

Requirements

We value talent and initiative above all else. To succeed in this role, you should possess the following qualifications and skills:

• Extensive experience with Python and data pipeline technologies such as pandas, SQLAlchemy, and Airflow.
• A deep understanding of modern AI concepts, including RAG, agentic AI, and vector databases.
• Proficiency in workflow automation and full-stack development, specifically with JavaScript and React.
• A strong background in designing scalable data architectures that handle both structured and unstructured data.
• A self-directed mindset with the ability to own projects from conception to implementation without the need for micromanagement.

Location

This position is based in the United Kingdom and follows a hybrid work model.

Compensation and Benefits

We are committed to fostering a supportive and flexible work environment. As part of our team, you will benefit from:

• Hybrid work arrangements to balance your professional and personal life.
• The opportunity to work in a high-growth fintech environment alongside experts from academia and industry.
• A culture that emphasizes autonomy, rapid iteration, and the freedom to solve complex problems.