Líder de Operaciones IT 24x7 | Cloud & Infra

Malthus Darwin; Barcelona; Hybride; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI (ADAI) practice, supporting cloud-native data platforms on Google Cloud. You will design scalable ETL/ELT pipelines, enable analytics and AI use cases, and deliver high-quality data solutions across enterprise environments.

The ideal candidate has 3+ years of data engineering experience, hands-on GCP skills (BigQuery, Dataflow, Pub/Sub, Composer, Dataproc), strong SQL and Python, and familiarity with dbt, Spark, Kafka,

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.

Responsabilités

• 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.

Connaissances

SQL

Python

ETL/ELT pipelines

GCP services

BigQuery

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Terraform

Docker

Outils

Looker

Power BI

Terraform

Description du poste

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI (ADAI) practice, supporting cloud-native data platforms on Google Cloud. You will design scalable ETL/ELT pipelines, enable analytics and AI use cases, and deliver high-quality data solutions across enterprise environments.

The ideal candidate has 3+ years of data engineering experience, hands-on GCP skills (BigQuery, Dataflow, Pub/Sub, Composer, Dataproc), strong SQL and Python, and familiarity with dbt, Spark, Kafka,