GCP Data Engineer - Scalable ETL Pipelines

Mentor Talent Acquisition; Valencia; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Kyndryl in Madrid and Valencia is seeking a Data Engineer to join the Applications, Data & AI (ADAI) practice, focused on cloud-native data platforms on Google Cloud Platform.

You will design and build scalable ETL/ELT pipelines, optimize data ingestion and modeling, and collaborate with architects and business stakeholders to deliver high-quality data solutions in enterprise environments. The role offers a hybrid work culture with growth opportunities through Be Well programs and certifications.

Qualifications

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

ETL/ELT pipelines

Data warehousing

Tools

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Terraform

Docker

Looker

Power BI

Job description

Kyndryl in Madrid and Valencia is seeking a Data Engineer to join the Applications, Data & AI (ADAI) practice, focused on cloud-native data platforms on Google Cloud Platform.

You will design and build scalable ETL/ELT pipelines, optimize data ingestion and modeling, and collaborate with architects and business stakeholders to deliver high-quality data solutions in enterprise environments. The role offers a hybrid work culture with growth opportunities through Be Well programs and certifications.