Senior Data Engineer - Hybrid Madrid, Data Platform

Ebury; Madrid; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Tailored onboarding

High-impact work

Collaborative culture

Job summary

Ebury is seeking a Senior Data Engineer to join our Data Engineering team in Madrid. You will design, deploy, and maintain robust ELT/ETL pipelines, and collaborate on scalable data models to support data-driven decision making.

Our stack includes GCP, Apache Airflow, dbt, Looker, and Python. You will apply software engineering best practices, advance data governance, and enable high-value analytics across the business. Hybrid: 4 days in office, 1 day remote.

Qualifications

• 3+ years in data engineering in big data environments.
• Strong proficiency in Python and SQL.
• Solid understanding of SDLC, testing, documentation (RFCs), and continuous deployment in a data environment.
• A strong curiosity to stay up to date with modern data industry standards, technologies, and best practices.
• Professional fluency in English.

Responsibilities

• Build & Orchestrate: Design, deploy, and maintain robust ELT/ETL data pipelines from diverse sources (transactional databases, REST APIs, and file-based endpoints).
• Model & Warehouse: Collaborate on scalable data models to supply clean, structured data for BI tools and department-specific decision-making.
• Modernize & Optimize: Manage orchestration using Apache Airflow (GCP Cloud Composer) and leverage GCP native services (Cloud Run, GKE, Cloud Functions, Artifact Registry).
• Drive Engineering Excellence: Apply software engineering best practices (version control, CI/CD, testing, code reviews) while actively reducing technical debt.
• Automate & Empower: Automate end-to-end data workflows to eliminate manual extracts, freeing teams across Ebury to focus on high-value analysis.
• Govern & Refine: Help implement data quality standards, access controls, and data governance policies across the platform.

Skills

Python

SQL

ELT/ETL pipelines

SDLC

Tools

dbt

GCP

Airflow

Looker

Job description

Ebury is seeking a Senior Data Engineer to join our Data Engineering team in Madrid. You will design, deploy, and maintain robust ELT/ETL pipelines, and collaborate on scalable data models to support data-driven decision making.

Our stack includes GCP, Apache Airflow, dbt, Looker, and Python. You will apply software engineering best practices, advance data governance, and enable high-value analytics across the business. Hybrid: 4 days in office, 1 day remote.