GCP Data Engineer for AI & Analytics (Hybrid)

Kyndryl Inc.; Madrid; Hybrid; EUR 55,000 - 85,000; Full time

Job summary

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

The ideal candidate designs scalable data pipelines and delivers high-quality data solutions in enterprise environments. The role emphasizes data modeling, governance, and collaboration with stakeholders to translate requirements into practical technical solutions.

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 fluid level.

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

BigQuery

Data modeling

Tools

BigQuery

Dataflow

Pub/Sub

Composer

Dataproc

Job description

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

The ideal candidate designs scalable data pipelines and delivers high-quality data solutions in enterprise environments. The role emphasizes data modeling, governance, and collaboration with stakeholders to translate requirements into practical technical solutions.