6 дней назад
Data Platform Engineer, Data Infrastructure & Services (GCP)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Platform Engineer, Data Infrastructure & Services (GCP): Building and evolving a Transportation & Logistics data platform on Google Cloud Platform with an accent on infrastructure as code, data pipelines, automation, governance, and operational resilience. Focus on migrating workloads from AWS and Azure to GCP, designing batch and streaming workflows, embedding security guardrails, and applying AI tools to platform engineering and troubleshooting.
Location: Spain - Remote
Company
is a global technology company connecting the physical and digital worlds through positioning, modeling, data analytics, and solutions for construction, geospatial, and transportation industries.
What you will do
- Build and evolve a next-generation Transportation & Logistics data platform on Google Cloud Platform.
- Design, provision, and maintain cloud infrastructure with Terraform and automated CI/CD pipelines.
- Support migration of workloads, storage layers, and data pipelines from AWS and Azure to GCP.
- Develop and optimize data platform capabilities, including batch and streaming pipeline orchestration.
- Implement security, privacy, compliance, IAM, network, secrets management, data classification, and encryption guardrails.
- Maintain observability, auditability, runbooks, deployment evidence, cost controls, and operational readiness.
Requirements
- Experience reasoning about and debugging code, data pipelines, and infrastructure across multiple technical layers.
- Foundational cloud engineering knowledge in AWS, Azure, or GCP, with hands-on capability or willingness to specialize in GCP.
- Hands-on experience with declarative infrastructure as code, especially Terraform, state management, and CI/CD pipelines such as GitHub Actions.
- Working knowledge of modern data platform tools and primitives, including BigQuery or Redshift, Airflow or Cloud Composer, Pub/Sub or Kafka, Dataflow, or dbt.
- Ability to use AI tools critically for delivery, troubleshooting, documentation, and code reviews while validating their output for safety and performance.
- Pragmatic judgment regarding testing, observability, governance, security, privacy, architecture, and operational resilience.
Culture & Benefits
- Purpose-driven work focused on improving construction, transportation, infrastructure, supply chains, and sustainability.
- Collaborative and supportive environment with a focus on belonging and shared purpose.
- Ownership and autonomy for proactive builders and practical problem-solvers.
- Opportunity to work on solutions used by people and organizations worldwide.
Hiring process
- Submit an online application through the application portal.
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