Python Data Engineer

• 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

• 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

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certification
• Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

• Why Join EPAM
• WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
• CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
• CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
• STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

full_time

Organization EPAM Systems

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!