Data Engineer: Build Scalable Data Pipelines & Analytics

Ledgy; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A dynamic technology company in Madrid is seeking a Data Engineer to build robust data pipelines and design scalable data architecture. You will manage ETL tools and ensure reliable data flow for analytics. The ideal candidate has 2-3 years of experience with SQL, Python, and data engineering practices. Join a diverse team focused on innovative solutions and collaboration to drive business decisions, while contributing to a mission of empowering entrepreneurship across Europe.

Formación

• 2-3+ years experience building production data pipelines.
• Experience managing ETL / ELT tools like Fivetran or Airbyte.
• Proficiency in Looker, including LookML development.

Responsabilidades

• Manage and optimize data infrastructure and ETL pipelines.
• Develop, test, and maintain DBT models for analytics.
• Create and manage LookML models in Looker.

Conocimientos

Building production data pipelines

SQL

Python (Pandas)

Problem-solving

Excellent communication

Herramientas

DBT

Fivetran

Airbyte

Google Cloud Platform

Looker

Descripción del empleo

A dynamic technology company in Madrid is seeking a Data Engineer to build robust data pipelines and design scalable data architecture. You will manage ETL tools and ensure reliable data flow for analytics. The ideal candidate has 2-3 years of experience with SQL, Python, and data engineering practices. Join a diverse team focused on innovative solutions and collaboration to drive business decisions, while contributing to a mission of empowering entrepreneurship across Europe.