Senior Python Data Engineer (Dataiku)

Were looking for a Senior Python Data Engineer (Dataiku) to design implement and optimize a Client Tax Data Provider application that will serve as the strategic data integration layer for client tax reporting obligations. Built on S3-compatible storage and Dataiku DSS this solution will streamline data sourcing enforce standards and ensure compliance with EasyTax delivery requirements across jurisdictions. This is a hands-on engineering role ideal for professionals who thrive on building robust scalable data pipelines within regulated environments and can ensure quality security and accuracy throughout the delivery lifecycle.

This is a hybrid role based in Madrid 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!

• Design and develop a tax data provider application leveraging Dataiku DSS Python and S3-based storage
• Implement data pipelines for ingestion transformation normalization and validation of client tax-relevant data
• Integrate data from multiple banking systems in line with architectural standards and migration objectives
• Enable secure data access and enforce strict access control mechanisms
• Supply tax-relevant data to downstream consumers including tax calculation engines (e.g. EasyTax) reporting tools and analytics platforms
• Ensure continuity of historical reporting by retaining a read-only legacy tax database while enabling seamless migration to new structures
• Optimize performance through efficient use of processing engines like PySpark and Trino
• Collaborate with stakeholders to align technical solutions with regulatory and compliance requirements
• Maintain clear documentation to support sustainability and audit-readiness

• Proven experience in Python for complex data transformation API integration and Dataiku automation
• Strong expertise with Dataiku DSS for data processing and integration
• Hands-on experience with distributed processing engines such as Spark/PySpark or Trino
• Solid understanding of S3-compatible object storage and integration practices
• Familiarity with Oracle database and SQL for advanced queries
• Knowledge of data security access control and data governance frameworks
• Ability to design and deliver resilient maintainable data pipelines in financial services or similarly regulated environments
• Strong problem-solving abilities with attention to detail and quality
• Excellent communication skills to collaborate across technical and business teams
• Fluent in English written and spoken

• Experience in tax reporting or financial data domains
• Exposure to EasyTax or similar tax calculation engines
• Familiarity with core banking transformation programs and legacy migration strategies
• Knowledge of regulatory compliance requirements related to data processing and storage