Senior Python Data Engineer (Dataiku)

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