We're looking for aSenior 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 Easy Tax 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!ResponsibilitiesDesign and develop a tax data provider application leveraging Dataiku DSS, Python and S3-based storageImplement data pipelines for ingestion, transformation, normalization and validation of client tax‑relevant dataIntegrate data from multiple banking systems in line with architectural standards and migration objectivesEnable secure data access and enforce strict access control mechanismsSupply tax‑relevant data to downstream consumers including tax calculation engines (e.G., Easy Tax), reporting tools and analytics platformsEnsure continuity of historical reporting by retaining a read‑only legacy tax database while enabling seamless migration to new structuresOptimize performance through efficient use of processing engines like Py Spark and TrinoCollaborate with stakeholders to align technical solutions with regulatory and compliance requirementsMaintain clear documentation to support sustainability and audit‑readinessRequirementsProven experience in Python for complex data transformation, API integration and Dataiku automationStrong expertise with Dataiku DSS for data processing and integrationHands‑on experience with distributed processing engines such as Spark/Py Spark or TrinoSolid understanding of S3‑compatible object storage and integration practicesFamiliarity with Oracle database and SQL for advanced queriesKnowledge of data security, access control and data governance frameworksAbility to design and deliver resilient, maintainable data pipelines in financial services or similarly regulated environmentsStrong problem‑solving abilities with attention to detail and qualityExcellent communication skills to collaborate across technical and business teamsFluent in English, written and spokenNice to haveExperience in tax reporting or financial data domainsExposure to Easy Tax or similar tax calculation enginesFamiliarity with core banking transformation programs and legacy migration strategiesKnowledge of regulatory compliance requirements related to data processing and storageWe offerPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage courses
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