EPAM logo

Senior Data Engineer

EPAM·Salary not specified

Primary stack

DockerKubernetesPythonCI/CDETLAzureSQL

Nice to have's

DagsterAirflowRegulated environmentsCertificationsDistributed systemsMicroservicesAPI-driven architecturesAutomationDevOps practicesAgile environmentsSpanish

Job description

About the Position

Are you a forward-thinking professional with a strong background in Data Engineering and an interest in financial services? Join EPAM 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.

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 modeling 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 modeling, 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

We Offer

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

About the Company

Join EPAM and contribute to shaping the future of financial services in Spain!

© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.

More at EPAM

All 3139 roles

Popular searches