GCP Data Engineer - ETL/ELT & Real-Time Pipelines

Dentsu; Valencia; Hybrid; EUR 48,000 - 72,000; Full time

Job summary

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI practice, building scalable ETL/ELT pipelines on Google Cloud Platform for enterprise data and AI use cases. You will implement data models, quality checks, and governance to enable analytics with reliable data.

The role supports hybrid work across Madrid/Valencia with partial remote options; you will collaborate with architects and business stakeholders to translate requirements into practical data solutions and ensure

Qualifications

• 3+ years of experience as a Data Engineer or similar role.
• Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.
• Strong SQL and Python programming skills.
• Experience developing ETL/ELT pipelines and distributed data processing solutions.
• Knowledge of data warehousing concepts and dimensional modeling.
• Spanish and English fluent.

Responsibilities

• 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.

Skills

SQL

Python

Data pipelines

ETL/ELT

GCP

BigQuery

Data modeling

Spanish/English

Tools

dbt

Spark

Kafka

Terraform

Docker

Job description

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI practice, building scalable ETL/ELT pipelines on Google Cloud Platform for enterprise data and AI use cases. You will implement data models, quality checks, and governance to enable analytics with reliable data.

The role supports hybrid work across Madrid/Valencia with partial remote options; you will collaborate with architects and business stakeholders to translate requirements into practical data solutions and ensure