GCP Data Engineer: Scalable Pipelines & Analytics

Jobs2Web; Barcelona; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI practice, supporting modern cloud-native data platforms on Google Cloud Platform. You will design, build, and maintain scalable pipelines, data models, and governance across analytics, reporting, and AI initiatives.

You will collaborate with architects and stakeholders in a hybrid-friendly, growth-oriented environment, focused on dependable data solutions and real-time processing capabilities for enterprise customers.

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

BigQuery

Python

SQL

GCP

ETL/ELT pipelines

Spark

Kafka

dbt

Docker

Terraform

Looker

Power BI

Tools

Looker

Power BI

Docker

Terraform

Jobbeschreibung

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI practice, supporting modern cloud-native data platforms on Google Cloud Platform. You will design, build, and maintain scalable pipelines, data models, and governance across analytics, reporting, and AI initiatives.

You will collaborate with architects and stakeholders in a hybrid-friendly, growth-oriented environment, focused on dependable data solutions and real-time processing capabilities for enterprise customers.