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Data Engineer GCP

Data Engineer • Senior • Remote • Full-time Spain Spain

Data Engineer role focused on designing and building data platforms on Google Cloud Platform, covering end-to-end architecture, ingestion and transformation pipelines.

Responsibilities

  • Design and document the data platform architecture in GCP
  • Define the base architecture for ingesting information from different sources
  • Design and implement scalable, maintainable data pipelines
  • Participate in selecting and configuring the most suitable GCP services
  • Work on data processing, storage and exploitation
  • Apply security, performance, monitoring and cost-control best practices
  • Collaborate with architects, analysts and other data engineers

Requirements

  • Solid experience as a Data Engineer in GCP environments
  • Ability to design and document end-to-end data architectures
  • Experience with services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Dataproc, Cloud Functions or Cloud Run
  • Knowledge of Python and SQL
  • Experience with batch ingestion and, if possible, real-time processes
  • Knowledge of data modeling, transformation and quality
  • Familiarity with CI/CD and infrastructure as code

Nice to have

  • Experience or knowledge of FinOps on GCP
  • GCP certifications

Soft skills

Collaboration with architects, analysts and engineers

What we offer

  • Immediate onboarding to a leading IT company with strong expertise in Data & Analytics
  • Permanent contract with strong development and growth opportunities
  • 100% remote work from anywhere in Spain
  • Highly competitive compensation package
  • Flexible benefits plan: meal, transport and childcare cards
  • Medical insurance and GymPass
  • Training plans adapted to each profile: technical courses, official certifications, language training
  • Special employee discount portal
  • Good working environment and collaborative culture

About the company

Logicalis Spain's Data & AI team works with national and international clients on data engineering, AI and advanced analytics projects, covering the full data lifecycle.

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