Senior Data Engineer — Hybrid Madrid, Build Data Platform

ebury anz; Madrid; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Onboarding plan 30/60/90 days

High-impact work

Collaborative culture

Job summary

Ebury is seeking a Senior Data Engineer in Madrid, working a hybrid pattern (4 days in-office, 1 day remote). You will join a data-centric team to build, scale, and maintain our data platform, enabling data-driven decisions across the business.

Responsibilities include designing and deploying robust ETL pipelines, creating clean data models for BI, and modernizing orchestration with Airflow on GCP. Strong Python, SQL, and English are required, with a focus on SDLC, testing, and CI/CD.

Qualifications

• 3+ years in data engineering with pipelines in big data environments.

Responsibilities

• Build, deploy, and maintain robust ELT/ETL pipelines from diverse sources.
• Model scalable data structures for BI tools and decision-making.
• Modernize and optimize using Airflow and GCP services.
• Apply software engineering best practices, including CI/CD and testing.
• Automate end-to-end data workflows to reduce manual extraction.
• Contribute to data governance, access controls, and data quality policies.

Skills

Python

SQL

English

SDLC

Testing

CI/CD

Documentation

Tools

Airflow

GCP

dbt

Looker

Looker Studio

GitHub

Jira

Cloud Build

Job description

Ebury is seeking a Senior Data Engineer in Madrid, working a hybrid pattern (4 days in-office, 1 day remote). You will join a data-centric team to build, scale, and maintain our data platform, enabling data-driven decisions across the business.

Responsibilities include designing and deploying robust ETL pipelines, creating clean data models for BI, and modernizing orchestration with Airflow on GCP. Strong Python, SQL, and English are required, with a focus on SDLC, testing, and CI/CD.