Cloud Data Engineer (GCP) – ETL Pipelines & AI Readiness

Squad - Cabinet De Conseils Et D’Expertises; Sevilla; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI (ADAI) practice in Spain, building scalable data pipelines on Google Cloud Platform to enable analytics and AI use cases. The role focuses on designing ETL/ELT processes, data models, and governance across enterprise environments.

You will collaborate with architects and stakeholders to translate requirements into robust data solutions, supporting orchestration and automation of pipelines in a hybrid work setting.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Python

ETL/ELT pipelines

Data warehousing concepts

Spanish and English

Tools

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

Jobbeschreibung

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI (ADAI) practice in Spain, building scalable data pipelines on Google Cloud Platform to enable analytics and AI use cases. The role focuses on designing ETL/ELT processes, data models, and governance across enterprise environments.

You will collaborate with architects and stakeholders to translate requirements into robust data solutions, supporting orchestration and automation of pipelines in a hybrid work setting.