Senior Data Engineer: Pipelines, Modeling & Impact - Hybrid

Greenhouse Software, Inc.; 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 hybrid Madrid team. You will build and optimize ELT/ETL pipelines, design scalable data models, and collaborate across Data Scientists, Engineers, and Analysts to enable data-driven decisions.

You will work with Apache Airflow, GCP services, and dbt to modernize data workflows, implement governance, and maintain high-quality data products for business insights.

Qualifications

• 3+ years in data engineering
• Strong proficiency in Python and SQL
• Fluency in English
• Understanding of SDLC, testing and CI/CD in data environments
• Curiosity about modern data standards and practices

Responsibilities

• Build, deploy and maintain robust ELT/ETL data pipelines from diverse sources
• Collaborate on scalable data models and data warehouses for BI tools
• Manage orchestration using Apache Airflow and GCP services like Cloud Run and GKE
• Apply software engineering practices including version control, testing and code reviews
• Automate end-to-end data workflows to reduce manual extracts
• Support data governance, quality controls and access policies across the platform

Skills

Python

SQL

Tools

dbt

GCP

Airflow

Looker

Job description

Ebury is seeking a Senior Data Engineer to join our hybrid Madrid team. You will build and optimize ELT/ETL pipelines, design scalable data models, and collaborate across Data Scientists, Engineers, and Analysts to enable data-driven decisions.

You will work with Apache Airflow, GCP services, and dbt to modernize data workflows, implement governance, and maintain high-quality data products for business insights.