Cloud Data Engineer – ETL/ELT on GCP (SQL/Python)

Vithas; Madrid; Híbrido; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI practice, helping to build scalable data platforms on Google Cloud. You will create reliable data pipelines, support analytics and AI use cases, and deliver high-quality data solutions across enterprise environments.

The role emphasizes collaboration with architects and stakeholders, with a hybrid-friendly culture and opportunities to grow within a global technology leader.

Formación

• 3+ years of experience as a Data Engineer or similar role.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data.
• Develop and maintain data models supporting analytics, reporting, and AI initiatives.
• Implement data quality validation, monitoring, and governance controls.
• Collaborate with architects and business stakeholders to translate requirements into technical solutions.
• Support orchestration, automation, and operationalization of data pipelines.

Conocimientos

SQL

Python

ETL/ELT pipelines

Data warehousing

Analytics & BI

Herramientas

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Terraform

Docker

Descripción del empleo

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI practice, helping to build scalable data platforms on Google Cloud. You will create reliable data pipelines, support analytics and AI use cases, and deliver high-quality data solutions across enterprise environments.

The role emphasizes collaboration with architects and stakeholders, with a hybrid-friendly culture and opportunities to grow within a global technology leader.