Senior Data Engineer with GCP

EPAM Systems; Polska; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior Data Engineer to guide customers migrating analytics and AI workloads to GDC Air-Gap in EMEA. The role involves ingesting, storing, processing, analyzing, and visualizing data across GCP and GDC-AG, with strong collaboration with Google teams and partners.

The position is hybrid, requiring travel to the Netherlands once or twice every two months. The candidate should have at least 3+ years in data engineering, expertise in GDC Air-Gap, hands-on GCP

Qualifications

• 3+ years of data engineering experience.

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 post-deployment guidance.

Skills

GDC Air-Gap

Google Cloud Platform

Kubernetes (GKE)

Terraform

IaC

CI/CD

Data pipelines

ML solutions

Stakeholder management

English (B2+)

Education

GCP Professional Certification

Tools

Terraform

Kubernetes (GKE)

Job description

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