Senior Python Data Engineer (Dataiku)

EPAM Systems; España; On-site; PHP 4,926,108 - 7,389,162; Full time

Job summary

EPAM Systems is seeking a Senior Python Data Engineer in the Philippines to design and optimize a tax data provider application. You will work with Dataiku DSS, Python, and S3 storage to streamline client tax reporting.

This hybrid role requires expertise in building robust data pipelines and knowledge of regulatory compliance in the financial services sector. Ideal candidates will have strong problem-solving abilities and excellent communication skills.

Qualifications

• 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 like 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.
• 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.

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.
• Enable secure data access and enforce strict access control mechanisms.
• Supply tax-relevant data to downstream consumers including tax calculation engines.
• Ensure continuity of historical reporting by retaining a read-only legacy tax database.
• Optimize performance through efficient use of processing engines like PySpark and Trino.
• Collaborate with stakeholders to align technical solutions with regulatory requirements.
• Maintain clear documentation to support sustainability and audit-readiness.

Skills

Python for complex data transformation

Dataiku automation

Distributed processing engines (Spark/PySpark)

S3-compatible object storage

Oracle database and SQL

Data security and governance frameworks

Resilient data pipeline design

Problem-solving abilities

Excellent communication skills

Fluent in English

Tools

Dataiku DSS

PySpark

Trino

Job description

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.