The role involves designing and developing complex data systems, backend services, and contributing to frontend UI development. Candidates must have strong Python skills and experience with data processing and microservices.
ThetaRay provides AI-driven anti-financial crime technology used by global banks and fintechs to detect money laundering and financial crime.
Our Madrid office is a key R&D hub with 50+ team members across engineering, data, and customer delivery, working closely with strategic customers across the region.
As a Full Stack Engineer, you will build scalable data platforms and backend services that power ThetaRay’s financial crime detection and analytics systems.
Technology: Python, Spark, Pandas, Airflow, microservices, distributed databases, Docker, Kubernetes, React / Angular
What you’ll work on:
- Building large-scale data pipelines and backend services using Python
- Developing distributed data processing systems that analyze large financial datasets
- Designing microservices architectures that integrate data pipelines with AI-driven analytics
- Contributing to modern web applications and UI components using React, Next.js, or Angular
- Working with distributed databases and scalable storage systems
Key Requirements:
- Strong experience developing data platforms or backend systems using Python
- Experience building data pipelines or working with large-scale data processing frameworks (e.g., Spark, Pandas)
- Experience designing microservices architectures
- Experience working with distributed databases (e.g., Elasticsearch, MongoDB, Redis)
- Experience working with containerized environments such as Docker and Kubernetes
- Experience contributing to frontend applications using React, Next.js, or Angular
- Fluent Spanish and strong English communication skills (written and spoken)
Top Skills
Airflow
Angular
CSS3
Docker
Elasticsearch
HTML5
JavaScript
Kubernetes
MongoDB
Next.Js
Pandas
Python
React
Redis
Spark
Typescript
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