Global Cloud Data Platform Lead

Deutsche Telekom

Granada

Hybrid

EUR 45,000 - 65,000

Full time

8 days ago

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Job summary

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI (ADAI) practice, supporting modern cloud-native data platforms on Google Cloud Platform. You will design scalable ETL/ELT pipelines and collaborate with architects and stakeholders to deliver high-quality data solutions for analytics and AI.

The role requires 3+ years of experience, strong SQL and Python, and fluency in Spanish and English.

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.

Responsibilities

  • 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.

Skills

SQL
Python
ETL/ELT pipelines
BigQuery
Data modeling
GCP
Spanish-English fluency

Tools

dbt
Spark
Kafka
Terraform
Docker

Job description

Kyndryl is seeking a Data Engineer to join its Applications, Data & AI (ADAI) practice, supporting modern cloud-native data platforms on Google Cloud Platform. You will design scalable ETL/ELT pipelines and collaborate with architects and stakeholders to deliver high-quality data solutions for analytics and AI.

The role requires 3+ years of experience, strong SQL and Python, and fluency in Spanish and English.

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