Experteer Overview As a Senior Data Engineer at EPAM in Madrid, you will design and evolve scalable data ecosystems for private banking clients. You will build Python-based ETL/ELT pipelines and integrate complex APIs, collaborating with cross-functional teams to deliver reliable data products. You’ll tackle data ingestion for batch, incremental, and streaming scenarios while ensuring data quality and robust authentication. This hybrid role offers a chance to impact financial services in Spain by shaping data-powered solutions at scale.Compensaciones / Incentivos
- Design, build and optimize scalable Python ETL/ELT pipelines using pandas or Polars
- Orchestrate data workflows with Dagster, Airflow or similar tools
- Develop data ingestion pipelines for batch, incremental and streaming data
- Integrate with internal and external APIs with robust authentication and error handling
- Implement dimensional modeling and domain-driven data structures
- Manage application lifecycle and reduce architecture debt
- Deploy, operate and monitor pipelines with Docker,



Kubernetes and GitLab
- Develop and maintain CI/CD pipelines for data workflows and infrastructure
- Collaborate with data scientists, software engineers and platform teams to enhance data services
- Support troubleshooting, incident response and participate in architecture discussionsResponsabilidades
- Strong experience in data engineering and building data ecosystems
- Proficiency in Python-based ETL/ELT development
- Experience with data orchestration tools (Dagster, Airflow)
- Knowledge of data ingestion for batch, incremental and streaming data
- API integration with secure authentication and data quality focus
- Experience with data modeling (dimensional, domain-driven)
- Familiarity with containerization and orchestration (Docker, Kubernetes) and GitLab
- CI/CD for data workflows and infrastructure
- Cross-functional collaboration and problem-solving abilityRequisitos principales
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📌 Senior Data Engineer (Madrid)
🏢 Epam Systems
📍 Madrid