AI-Ready Data Engineer: Scalable BigQuery Pipelines

Join; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Modern tools

Growth in AI/Google Cloud

Descripción de la vacante

Join is seeking a Data Engineer within the Data Department to build robust data foundations for AI initiatives on Google Cloud. You will report to the Head of Data and collaborate with BUs and the AI Office to transform raw data into high-quality, scalable models.

You will design BigQuery schemas, develop ETL/ELT pipelines, and ensure data governance while enabling ML readiness. This hands-on role offers growth in a cloud-first environment.

Formación

• 3–5 years of professional data engineering experience.
• Deep hands-on experience with Google Cloud Platform, BigQuery.
• Expert-level SQL and proficiency in Python.
• Experience with the Modern Data Stack and star schema.
• Strong communication to bridge BU and technical teams.

Responsabilidades

• Data Modeling & Warehousing: Design, build, and maintain scalable data schemas in BigQuery that serve as the single source of truth for specific BUs.
• Pipeline Development: Develop and optimize ETL/ELT processes to migrate and clean data into the centralized GCP environment.
• AI Readiness: Work with the AI Office to ensure data structures are optimized for ML consumption.
• Stakeholder Collaboration: Act as the technical bridge between the Data Department and BU leads.
• Data Governance: Implement data quality, documentation, and lineage practices.

Conocimientos

Data modeling

SQL

Python

ETL/ELT

Data warehousing

Communication

Herramientas

BigQuery

Google Cloud Platform

Descripción del empleo

Join is seeking a Data Engineer within the Data Department to build robust data foundations for AI initiatives on Google Cloud. You will report to the Head of Data and collaborate with BUs and the AI Office to transform raw data into high-quality, scalable models.

You will design BigQuery schemas, develop ETL/ELT pipelines, and ensure data governance while enabling ML readiness. This hands-on role offers growth in a cloud-first environment.