Are you a forward-thinking professional with a strong background in Data Engineering and an interest in financial services? Join as a Senior Data Engineer and help build and evolve enterprise data ecosystems for customers. Design scalable data pipelines, ensure high-quality data flows and integrate complex APIs while collaborating with cross-functional teams to deliver robust and reliable data products.
This is a hybrid role based in Madrid's city center, idóneo for those eager to thrive in a dynamic environment and make a significant impact in private banking technology. Join EPAM and contribute to shaping the future of financial services in Spain
Responsibilities
- Design, build and optimize scalable Python-based ETL/ELT pipelines using frameworks such as pandas or Polars
- Orchestrate data pipelines using Dagster, Airflow or similar tools
- Develop efficient data ingestion pipelines for batch, incremental and streaming scenarios
- Integrate with internal and external APIs ensuring robust authentication, error handling and data quality




- Implement best-in-class data models including dimensional modelling and domain-driven structures
- Manage application lifecycle and reduce architecture debt
- Deploy, operate and monitor data pipelines using Docker, Kubernetes and GitLab
- Develop and maintain CI/CD pipelines for data workflows and infrastructure components
- Collaborate with data scientists, software engineers and platform teams to enhance data services and deployment processes
- Support troubleshooting, incident response and participate in architecture discussions

Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science or related field
- Minimum 5 years of experience in data engineering or backend engineering with a strong data focus
- Expert-level Python skills with frameworks such as pandas or Polars
- Experience with data orchestration frameworks (Dagster, Airflow or similar)
- Strong understanding of data modelling, ETL pa

📌 Senior Data Engineer (Madrid)
🏢 Epam Systems
📍 Madrid