Data Engineer | Up to 55k | Hybrid role

Talent-R; Barcelona; Híbrido; EUR 49.500 - 60.500; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

23 vacation days plus birthday off

Modern office with chill zones and kitchen

Descripción de la vacante

A leading talent acquisition firm in Spain is seeking a skilled Data Engineer to build end-to-end data pipelines supporting AI-driven marketing. This hybrid position in Sant Cugat offers a salary of up to 55k plus performance bonuses. The ideal candidate must have strong expertise in designing ETL systems, proficient knowledge of Python and SQL, and experience with GCP. Join a team that values innovation and offers 23 vacation days plus your birthday off in a modern office environment.

Formación

• 3+ years of experience designing and building large-scale data systems (ETL/ELT, modeling, warehousing).
• Hands-on experience with Google Cloud Platform.
• Strong communication skills to translate technical concepts to non-technical stakeholders.

Responsabilidades

• Design, build, and maintain ETL and reverse ETL pipelines.
• Collaborate with teams to define data requirements.
• Extract and integrate data from multiple tools and platforms.
• Monitor data quality and troubleshoot pipeline issues.

Conocimientos

Designing and building ETL pipelines

Python

Advanced SQL

Data warehouse optimization

Google Cloud Platform

Big Data technologies (Hadoop, Spark, Kafka)

Herramientas

GCP

dbt

Airbyte

Airflow

Prefect

Temporal

Descripción del empleo

Overview

Data & AI Talent Acquisition role at Talent-R for a Data Engineer focused on building end-to-end data pipelines to support AI-driven marketing. Location: Sant Cugat | Hybrid (2 days on-site). Salary: Up to 55k + performance bonus.

Responsibilities

• Design, build, and maintain ETL and reverse ETL pipelines using GCP, dbt, and Airbyte
• Collaborate with marketing, operations, and production teams to define data requirements
• Extract and integrate data from multiple tools and platforms
• Optimize and maintain our data warehouse for performance and reliability
• Monitor data quality, troubleshoot pipeline issues, and implement continuous improvements
• Support ML model deployment and maintenance
• 3+ years of experience designing and building large-scale data systems (ETL/ELT, modeling, warehousing)
• Strong Python and advanced SQL skills
• Hands-on experience with Google Cloud Platform
• Familiarity with Airflow, Prefect, or Temporal for orchestration
• Knowledge of Big Data technologies (Hadoop, Spark, Kafka)

Nice-to-have

• Experience with dbt and Airbyte
• Exposure to ML deployment and ad-tech environments
• Strong communication skills to translate technical concepts to non-technical stakeholders
• 🌴 23 vacation days + birthday off
• 🎂 Birthday off
• Modern office in Sant Cugat with chill zones and kitchen