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

Задачи: Develop and optimize complex SQL transformations for analytics and reporting

• Design and extend enterprise data models, including Data Vault, dimensional, and 3 NF 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.

Требования: 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 3 NF 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.

Условия: Hybrid work in Madrid, Spain.

📌 Data engineer for financial reporting (Madrid)
🏢 Enfint
📍 Madrid