data engineer for financial reporting

EPAM provides enterprise software products, open source solutions, and accelerators through EPAM SolutionsHub. The role supports analytical, financial, and regulatory reporting in a dynamic financial environment.

• Develop and optimize complex SQL transformations for analytics and reporting;
• Design and extend enterprise data models, including Data Vault, dimensional, and 3NF models, and maintain standards;
• Implement data quality checks, validation logic, and SQL testing frameworks;
• Build and operate SQL-centric ETL/ELT pipelines using optimization and reliability principles;
• Use Python for automation, API integrations, and workflow enhancement;
• Structure datasets for Tableau and Power BI consumption, supporting performance and governance;
• Partner with finance, risk, and compliance stakeholders to translate requirements into data solutions;
• Ensure pipeline monitoring, observability, and operational stability in production;
• Apply engineering best practices, including version control, documentation, and CI/CD integration;
• Contribute to platform improvement, performance tuning, and architectural roadmap initiatives.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field;
• Minimum 5+ years of experience in SQL-centric data engineering or backend roles;
• Expert-level SQL development experience, including query optimization and tuning;
• Strong knowledge of Data Vault, dimensional, SCD, and 3NF data modelling techniques;
• Hands-on experience building SQL-driven transformations and scalable data solutions;
• Practical Python knowledge for automation and integration tasks;
• Familiarity with Tableau or Power BI for backend enablement;
• Strong focus on data quality, reliability, and maintainable solutions;
• Excellent problem-solving, requirements refinement, and stakeholder collaboration skills;
• Hands-on experience with version control, code quality, and CI/CD;
• Fluent English communication, written and spoken;
• Experience in banking or financial environments and regulated domains;
• Nice to have: familiarity with Temenos T24/Transact, Temenos Triple’A or similar core banking systems, observability tools, data governance frameworks, automation for data ops, performance optimization, and support for complex BI environments.

• Hybrid work in Madrid, Spain.