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Senior Data Engineer with GCP

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We are looking for a Senior Data Engineer to help customers migrate data analytics and AI workloads to GDC Air-Gap (focused on post-deployment guidance) in EMEA. In this role, the engineer will guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC-AG, explain the differences between GCP and GDC-AG, and collaborate closely with Google account teams, partners, and customers. This is a hybrid role requiring travel to the Netherlands once or twice every two months. Responsibilities Guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC air-gapped environments Support customers in migrating data analytics and AI workloads to GDC-AG with a focus on post-deployment guidance Explain key differences between GCP and GDC-AG to technical and business stakeholders Deploy applications across both GCP and GDC-AG environments 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 Travel to the Netherlands once or twice every two months as part of this hybrid role 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
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What you’ll work on

Full posting
  • Guide customers on ingesting, storing, processing, and visualizing data on GDC air-gapped environments

  • Support migration of data analytics and AI workloads to GDC-AG after deployment

  • Explain key differences between GCP and GDC-AG to technical and business stakeholders

  • Design and build data pipelines, architectures, and ETL/ELT processes

  • Build and implement machine learning solutions tailored to customer needs

From the employer’s posting
Guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC air-gapped environments
Support customers in migrating data analytics and AI workloads to GDC-AG with a focus on post-deployment guidance
Explain key differences between GCP and GDC-AG to technical and business stakeholders
Design and build data pipelines, data architectures, ETL/ELT processes, and reporting/analytic environments
Build and implement machine learning solutions tailored to customer needs

Tools in this posting

  • GCP
  • Kubernetes
  • Terraform
Source — Tool mentions in context
We are looking for a Senior Data Engineer to help customers migrate data analytics and AI workloads to GDC Air-Gap (focused on post-deployment guidance) in EMEA. In this role, the engineer will guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC-AG, explain the differences between GCP and GDC-AG, and collaborate closely with Google account teams, partners, and customers. This is a hybrid role requiring travel to the Netherlands once or twice every two months. Responsibilities Guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC air-gapped environments Support customers in migrating data analytics and AI workloads to GDC-AG with a focus on post-deployment guidance Explain key differences between GCP and GDC-AG to technical and business stakeholders Deploy applications across both GCP and GDC-AG environments 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 Travel to the Netherlands once or twice every two months as part of this hybrid role 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

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Job description

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We are looking for a Senior Data Engineer to help customers migrate data analytics and AI workloads to GDC Air-Gap (focused on post-deployment guidance) in EMEA. In this role, the engineer will guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC-AG, explain the differences between GCP and GDC-AG, and collaborate closely with Google account teams, partners, and customers. This is a hybrid role requiring travel to the Netherlands once or twice every two months. Responsibilities Guide customers on ingesting, storing, processing, analyzing, exploring, and visualizing data on GDC air-gapped environments Support customers in migrating data analytics and AI workloads to GDC-AG with a focus on post-deployment guidance Explain key differences between GCP and GDC-AG to technical and business stakeholders Deploy applications across both GCP and GDC-AG environments 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 Travel to the Netherlands once or twice every two months as part of this hybrid role 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
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