This is a hybrid role based in Madrid, adecuado 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
- 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
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📌 Senior Python Data Engineer (Madrid)
🏢 EPAM Systems
📍 Madrid