Senior Data Engineer (GCP & Air-Gapped Environments)

Quick Facts

• Senior Data Engineer focused on GCP and GDC Air-Gap (post-deployment guidance)
• Hybrid role with travel to the Netherlands 1–2 times every two months

Description

Help customers migrate data analytics and AI workloads to GDC Air-Gap (GDC-AG) with post-deployment guidance. Guide ingestion, storage, processing, analysis, exploration, and visualization in air-gapped environments, while explaining the differences between GCP and GDC-AG to technical and business stakeholders. Collaborate with Google account teams, partners, and customers across EMEA and deploy applications across both environments.

Responsibilities

• Guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC air-gapped environments
• Support migrations of data analytics and AI workloads to GDC-AG (post-deployment focus)
• Explain key differences between GCP and GDC-AG to technical and business stakeholders
• Deploy applications across GCP and GDC-AG
• Design and build data pipelines, data architectures, ETL/ELT processes, and reporting/analytic environments
• Build and implement machine learning solutions tailored to customer needs
• Set up Cloud Networking and Landing Zones for customer environments
• Develop and maintain Infrastructure as Code and CI/CD automation pipelines
• Collaborate closely with Google account teams, partners, and customers across EMEA

Requirements

• 3+ years of experience in data engineering roles
• Expertise in GDC Air-Gap
• Proficiency in Google Cloud Platform with hands-on experience deploying applications across GCP and GDC-AG
• Background in distributed/sovereign solutions and familiarity with Kubernetes (GKE)
• Knowledge of Fabric Fast Customization
• Skills in Infrastructure as Code (IaC) and Terraform
• Competency in automation and CI/CD pipelines
• Understanding of Cloud Networking and Landing Zone setup
• Experience designing data pipelines, data architectures, and ETL/ELT reporting/analytic environments
• Capability to build machine learning solutions and work directly with technical customers
• Google Cloud Platform Professional Certification
• Strong communication and stakeholder management skills
• English proficiency at an Upper-Intermediate level (B2) or higher

Benefits

• Hybrid by design mode with opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually and business-driven relocation opportunities
• Career development programs and mentoring
• Certification support (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay; Employee Stock Purchase Plan with a 15% discount
• Health insurance, multisport, shopping vouchers
• Referral bonuses up to $2,000
• Office benefits (snacks, coffee, entertainment zones)
• Corporate, social, and well-being events
• Contractors possible under individually agreed B2B terms (benefits apply to employees only)