Senior Data Engineer (Python/Tableau)

• 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)

• 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

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.

• 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