Experteer Overview

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As a Senior Data Engineer, you design and optimize SQL-driven data transformations that support analytics, operational, and regulatory reporting in a banking-friendly environment. You work with enterprise data models and ensure high performance, quality, and governance across data pipelines. You collaborate with finance, risk, and business teams to translate requirements into reliable data solutions and contribute to platform evolution. You leverage Python and BI tools to automate and accelerate analytics delivery, while maintaining clear documentation and observability. This role offers impact through shaping data architecture and enabling trustworthy, scalable data services.

Compensaciones / Ventajas
• Develop and optimize complex SQL transformations for analytics, reporting, and regulatory needs
• Contribute to and align with enterprise data models (Data Vault, dimensional, 3NF, domain-driven structures)
• Ensure SQL logic is performant,



maintainable, and standards-compliant
• Implement data quality checks, validation rules, and SQL-based tests
• Maintain documentation, lineage, and metadata for governance
• Build and maintain SQL-centric ETL/ELT pipelines
• Use Python to automate processes, integrate APIs, or improve workflows
• Implement batch, incremental, and near-real-time ingestion patterns
• Ensure monitoring, observability, and reliable operation of data workflows
• Partner with finance, risk, compliance, and business teams to translate requirements
• Collaborate with data architects to align with modelling standards
• Troubleshoot ingestion, modeling, and operational processes
• Contribute to platform evolution, engineering improvements, and roadmap initiatives
• Communicate effectively with technical and business stakeholders
• Collaborate with platform and infrastructure teams to operate SQL workloads in

📌 Senior Data Engineer (Madrid)
🏢 Epam Systems
📍 Madrid