Hybrid Cloud Data Engineer — GCP ETL & AI Pipelines

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

Zusammenfassung

Kyndryl is seeking a Data Engineer to join its ADAI practice, focusing on cloud-native data platforms on Google Cloud. The role emphasizes building scalable pipelines, enabling analytics and AI use cases within enterprise environments.

You will work across design, development, and governance of data solutions, collaborating with architects and stakeholders to deliver high-quality data capabilities in a hybrid, multinational setting. Fluency in Spanish and English is required.

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

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Pub/Sub

Composer

Dataproc

Jobbeschreibung

Kyndryl is seeking a Data Engineer to join its ADAI practice, focusing on cloud-native data platforms on Google Cloud. The role emphasizes building scalable pipelines, enabling analytics and AI use cases within enterprise environments.

You will work across design, development, and governance of data solutions, collaborating with architects and stakeholders to deliver high-quality data capabilities in a hybrid, multinational setting. Fluency in Spanish and English is required.