Remote Data Engineer: Cloud-Native Pipelines

BCNC Group; Sevilla; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI (ADAI) practice, focusing on building scalable cloud-native data pipelines on Google Cloud Platform to support analytics and AI use cases in enterprise environments. The role involves designing ETL/ELT pipelines on GCP, data modeling, quality controls, and collaborating with architects and stakeholders.

Fluency in English and Spanish is required, and experience with BigQuery, Dataflow, Pub/Sub, and Looker/Power BI is

Qualifikationen

• 3+ years in data engineering or similar role.
• Proficient with GCP services: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Dataproc.
• Strong SQL and Python skills.
• Experience with ETL/ELT pipelines and distributed data processing.
• Knowledge of data warehousing concepts and dimensional modeling.
• Spanish and English fluency.

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

English

Spanish

Ausbildung

Bachelor's degree in Computer Science, Engineering or related field

Tools

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Terraform

Docker

Jobbeschreibung

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI (ADAI) practice, focusing on building scalable cloud-native data pipelines on Google Cloud Platform to support analytics and AI use cases in enterprise environments. The role involves designing ETL/ELT pipelines on GCP, data modeling, quality controls, and collaborating with architects and stakeholders.

Fluency in English and Spanish is required, and experience with BigQuery, Dataflow, Pub/Sub, and Looker/Power BI is