Senior Data Engineer - Hybrid Madrid, Build Data Platform

Ebury Anz
Madrid, Spain
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Airflow Continuous Integration Data Infrastructure Extract Transform Load (ETL) Python (Programming Language) Systems Development Life Cycle SQL Databases Data Analytics

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.

Requirements

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.

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