Remoto: Trabajo híbrido

Senior Data EngineerAre 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 Madrids 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 discussionsRequirements- Bachelors or Masters 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 considerations- Proficiency with Docker, Kubernetes and GitLab CI/CD- Hands-on experience with SQL and relational databases (MS SQL preferred)- Practical experience with Azure data and compute services or comparable AWS/GCP experience- Passion for building robust, maintainable and well-tested data systems- Strong focus on scalability, reliability, data quality and monitoringNice to have- Experience in regulated environments such as finance, insurance or healthcare- Certifications in cloud, Kubernetes or DevOps (CKA, AWS/GCP/Azure)- Familiarity with distributed systems, microservices and API-driven architectures- Commitment to automation, reproducibility and DevOps practices- Creativity and new ideas to enhance the platform- Ability to work under pressure and tough deadlines- Strong communication skills and product-thinking mindset- Comfortable working in agile environments- Fluency in SpanishPython, pandas, Polars, Dagster, Airflow, Docker, ETL

📌 Senior Data Engineer, Madrid
🏢 Epam
📍 Madrid