Python Data Engineer

We’re 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 Responsibilities - 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 Requirements - 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 Nice to have - 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 We offer - Private health insurance - EPAM Employees Stock Purchase Plan - 100% paid sick leave - Referral Program - Professional certification - Language courses