We're looking for a Senior Data Engineer (Python/Tableau) to join our team in Madrid, Spain in a hybrid working mode. In this role, you will design and optimize SQL-driven data transformations, develop scalable ETL/ELT pipelines, and contribute to enterprise data models supporting analytical, financial and regulatory reporting. This position provides an opportunity to work in a dynamic financial environment, partnering with cross-functional teams to deliver clean, reliable datasets while leveraging automation, BI optimization and engineering best practices for high-impact business intelligence enablement. Responsibilities * Develop and optimize complex SQL transformations to support analytics and reporting * Design and extend enterprise data models (Data Vault, dimensional, 3NF) and maintain standards * Implement data quality checks, validation logic and SQL testing frameworks * Build and operate SQL-centric ETL/ELT pipelines, applying optimization and reliability principles * Use Python for automation,



API integrations and workflow enhancement * Structure datasets for consumption in BI tools (Tableau, Power BI), assisting with performance and governance * Partner with business stakeholders in finance, risk and compliance to translate requirements into data solutions * Ensure monitoring, observability and operational stability of pipelines in production environments * Follow engineering best practices including version control, documentation and CI/CD integration * Contribute to platform improvement, performance tuning, and architectural roadmap initiatives Requirements * Bachelor’s/Master’s degree in Computer Science, Information Systems or related field * Minimum 5+ years of experience in SQL-centric data engineering or backend roles * Expert-level experience in SQL development including query optimization and tuning * Strong background in data modelling techniques: Data Vault, dimensional, SCD and 3NF * Hands-on experience in building SQL-driven transformations a

📌 Senior Data Engineer (Santiago de Compostela)
🏢 Epam Systems
📍 Santiago de Compostela