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# Data Engineer

- **Company:** Comunidad de Madrid
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Application Lifecycle Management, Continuous Integration, Data as a Services, Information Engineering, Extract Transform Load (ETL), Dataspaces, Data Structures, Dimensional Modeling, Python (Programming Language), Data Streaming, Data Ingestion, Gitlab, Containerization, Kubernetes, Domain Driven Design, Data Pipelines, Docker
- **Published:** July 21, 2026
- **Apply:** https://www.jobleads.com/es/job/e64e4736f9765e4a79acb5b1d42712804

## About the Role

* 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 ability

## Description

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., * 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 discussions


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