Back to SearchSenior Data Engineer with GCP
Hybrid in Poland
Google Cloud Platform& 4 others
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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