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# Python Data Engineer

- **Company:** Epam Systems
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Databases, Data Governance, Data Transformation, Data Security, Python (Programming Language), Oracle Databases, SQL Databases, Data Processing, Apache Spark, Pyspark, Tools for Reporting, Dataiku, Data Pipelines
- **Published:** August 29, 2026
- **Apply:** https://www.jobleads.com/es/job/e28aec6dfbdeeebe588b2f25db85cb72b

## About the Role

* 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

## Description

* 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


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