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 transformati

📌 Senior Data Engineer (Madrid)
🏢 Epam Systems
📍 Madrid