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.

Responsibilities

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

Requirements

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

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