We're looking for a Senior Data Engineer (Python/Tableau) to join our team in Madrid, Spain in a hybrid working mode. In this role, you will design and optimize SQL-driven data transformations, develop scalable ETL/ELT pipelines, and contribute to enterprise data models supporting analytical, financial and regulatory reporting. 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.ResponsibilitiesDevelop and optimize complex SQL transformations to support analytics and reportingDesign and extend enterprise data models (Data Vault, dimensional, 3 NF) and maintain standardsImplement data quality checks, validation logic and SQL testing frameworksBuild and operate SQL-centric ETL/ELT pipelines, applying optimization and reliability principlesUse Python for automation, API integrations and workflow enhancementStructure datasets for consumption in BI tools (Tableau, Power BI), assisting with performance and governancePartner with business stakeholders in finance, risk and compliance to translate requirements into data solutionsEnsure monitoring, observability and operational stability of pipelines in production environmentsFollow engineering best practices including version control,



documentation and CI/CD integrationContribute to platform improvement, performance tuning, and architectural roadmap initiativesRequirementsBachelor’s/Master’s degree in Computer Science, Information Systems or related fieldMinimum 5+ years of experience in SQL-centric data engineering or backend rolesExpert-level experience in SQL development including query optimization and tuningStrong background in data modelling techniques: Data Vault, dimensional, SCD and 3 NFHands-on experience in building SQL-driven transformations and scalable data solutionsPractical knowledge of Python for automation and integration tasksFamiliarity with BI tools such as Tableau or Power BI for backend enablementExperience working in banking or financial environments and regulated domains is highly desirableStrong focus on data quality, reliability and maintainable solutionsExcellent problem-solving, requirements refinement and stakeholder collaboration skillsHands-on experience with engineering best practices: version control, code quality and CI/CDFluent English communication (written and spoken)Nice to haveFamiliarity with Temenos T24/Transact, Temenos Triple’A or similar core banking systemsExposure to observability tools, data governance frameworks and automation for data opsExperience in performance optimization and support for complex BI environments

📌 Senior Data Engineer (Python/Tableau) (Madrid)
🏢 Epam Systems
📍 Madrid