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# Senior Data Engineer (Python/Tableau)

- **Company:** EPAM Systems, Inc.
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Third Normal Form, Software Quality, Information Systems, Continuous Integration, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Vault Modeling, Database Development, Python (Programming Language), Performance Tuning, Query Optimization, Power BI, SQL Databases, Tableau (Software), Grafana, Backend, Information Technology, Temenos, Software Version Control, Data Pipelines, Api Management
- **Published:** September 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ce89096ae729f982

## About the Role

* Bachelor's/Master's degree in Computer Science, Information Systems or related field
 * Minimum 5+ years of experience in SQL-centric data engineering or backend roles
 * Expert-level experience in SQL development including query optimization and tuning
 * Strong background in data modelling techniques: Data Vault, dimensional, SCD and 3NF
 * Hands-on experience in building SQL-driven transformations and scalable data solutions
 * Practical knowledge of Python for automation and integration tasks
 * Familiarity with BI tools such as Tableau or Power BI for backend enablement
 * Experience working in banking or financial environments and regulated domains is highly desirable
 * Strong focus on data quality, reliability and maintainable solutions
 * Excellent problem-solving, requirements refinement and stakeholder collaboration skills
 * Hands-on experience with engineering best practices: version control, code quality and CI/CD
 * Fluent English communication (written and spoken)

Nice to have

 * Familiarity with Temenos T24/Transact, Temenos Triple'A or similar core banking systems
 * Exposure to observability tools, data governance frameworks and automation for data ops
 * Experience in performance optimization and support for complex BI environments

## Description

This position provides an opportunity to work in a dynamic financial environment, partnering with cross-functional teams to deliver clean, reliable datasets while leveraging automation, BI optimization and engineering best practices for high-impact business intelligence enablement., * Develop and optimize complex SQL transformations to support analytics and reporting

 * Design and extend enterprise data models (Data Vault, dimensional, 3NF) and maintain standards
 * Implement data quality checks, validation logic and SQL testing frameworks
 * Build and operate SQL-centric ETL/ELT pipelines, applying optimization and reliability principles
 * Use Python for automation, API integrations and workflow enhancement
 * Structure datasets for consumption in BI tools (Tableau, Power BI), assisting with performance and governance
 * Partner with business stakeholders in finance, risk and compliance to translate requirements into data solutions
 * Ensure monitoring, observability and operational stability of pipelines in production environments
 * Follow engineering best practices including version control, documentation and CI/CD integration
 * Contribute to platform improvement, performance tuning, and architectural roadmap initiatives