Senior Data Engineer

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. ResponsibilitiesDesign, build and optimize scalable Python-based ETL/ELT pipelines using frameworks such as pandas or PolarsOrchestrate data pipelines using Dagster, Airflow or similar toolsDevelop efficient data ingestion pipelines for batch, incremental and streaming scenariosIntegrate with internal and external APIs ensuring robust authentication, error handling and data qualityImplement best-in-class data models including dimensional modelling and domain-driven structuresManage application lifecycle and reduce architecture debtDeploy, operate and monitor data pipelines using Docker, Kubernetes and GitLabDevelop and maintain CI/CD pipelines for data workflows and infrastructure componentsCollaborate with data scientists, software engineers and platform teams to enhance data services and deployment processesSupport troubleshooting, incident response and participate in architecture discussionsRequirementsBachelor's or Master's degree in Computer Science, Engineering, Data Science or related fieldMinimum 5 years of experience in data engineering or backend engineering with a strong data focusExpert-level Python skills with frameworks such as pandas or PolarsExperience with data orchestration frameworks (Dagster, Airflow or similar)Strong understanding of data modelling, ETL patterns and performance considerationsProficiency with Docker, Kubernetes and GitLab CI/CDHands-on experience with SQL and relational databases (MS SQL preferred)Practical experience with Azure data and compute services or comparable AWS/GCP experiencePassion for building robust, maintainable and well-tested data systemsStrong focus on scalability, reliability, data quality and monitoringNice to haveExperience in regulated environments such as finance, insurance or healthcareCertifications in cloud, Kubernetes or DevOps (CKA, AWS/GCP/Azure)Familiarity with distributed systems, microservices and API-driven architecturesCommitment to automation, reproducibility and DevOps practicesCreativity and new ideas to enhance the platformAbility to work under pressure and tough deadlinesStrong communication skills and product-thinking mindsetComfortable working in agile environmentsFluency in SpanishWe offerPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage coursesEPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. In ****, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.
Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.xqysrnh Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.