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, adecuado 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 patterns and performance con

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