Senior Data Engineer

• 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 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 monitoring

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certification
• Language courses

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, ideal 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 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 monitoring

Nice 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 Spanish

Benefits

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certification
• Language courses