Senior Data Platform Engineer

BUX

Amsterdam, Netherlands
On-site
Gcp and terraform
Kubernetes (gke) management
Network architecture and security
Architect and build scalable, self-service infrastructure for Data, AI, Machine Learning, and Analytics Engineering efforts

Job Summary

  • Architect and build scalable, self-service infrastructure for Data, AI, Machine Learning, and Analytics Engineering efforts.
  • Ensure operational excellence, reliability, security, and cost-awareness of cloud and data infrastructure throughout its lifecycle.
  • Partner with security, compliance, and risk stakeholders to maintain an audit-ready data platform aligned with financial services regulations.

Matching Summary

Architect and build scalable, self-service infrastructure for Data, AI, Machine Learning, and Analytics Engineering efforts.

Skills & Requirements

Must-have

  • GCP and Terraform
  • Kubernetes (GKE) management
  • Network architecture and security
  • CI/CD pipelines for infrastructure
  • Event streaming (Kafka, Pub/Sub)
  • Data warehousing and transformation (dbt)
  • Observability (metrics, tracing, alerting)

Nice-to-have

  • AI-assisted development tools
  • ML platforms like VertexAI
  • Snowflake or similar warehouses
  • Python and SQL expertise
  • Airflow or similar orchestration tools

Key Requirements

  • 3+ years of data engineering or platform/DevOps engineering
  • Production-grade platform building experience
  • Developer mindset for data
  • Deep cloud provider experience (GCP/AWS)
  • Strong grasp of network architecture
  • Experience with encryption, secrets handling, and secure CI/CD

Work Rights

Not specified

Tailored Resume

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