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# Python Data Engineer

- **Company:** Epam Systems
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Databases, Data Integration, Data Security, Data Systems, Python (Programming Language), Data Streaming, Data Processing, Pyspark, Dataiku, Data Pipelines
- **Published:** July 1, 2026
- **Apply:** https://es.trabajo.org/oferta-3206-92540e4807ab528f62d8fbe850b56402

## About the Role

Experteer Overview In this role, you will design and build a tax data provider layer, powering client tax reporting across jurisdictions. You'll leverage Dataiku DSS, Python and S3-based storage to ingest, transform, validate, and normalize data from multiple banking systems. You'll ensure secure access and regulatory compliance while supporting downstream consumers and legacy continuity. You will work with cross-functional stakeholders to deliver scalable, audit-ready data solutions that underpin EasyTax delivery requirements.Compensaciones / Beneficios - Design and develop a tax data provider app using Dataiku DSS, Python and S3 storage - Build data pipelines for ingestion, transformation, normalization and validation of tax-relevant data - Integrate data from multiple banking systems following architectural standards and migration goals - Enforce secure data access and strict access controls - Deliver data to downstream consumers including tax engines and analytics tools -
Maintain a read-only legacy tax database to ensure historical reporting continuity - Optimize performance with PySpark and Trino - Collaborate with stakeholders to meet regulatory and compliance requirements - Maintain clear, sustainability-focused documentationResponsabilidades - Senior Python Data Engineer - Experience with Dataiku DSS - Proficiency in PySpark and Trino - Strong data integration and pipeline design - Experience with S3-compatible storage - Regulated environment data handling and security - Knowledge of tax reporting data flows and EasyTax would be ideal - Hybrid/Madrid-based roleRequisitos principales -



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