Data Engineer (GCP)

About Digis

Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise platforms, and AI-powered solutions worldwide.

We partner with companies from the US, UK, and EU to build long-term distributed development teams. Our engineers work directly with strong technical teams on the client side and enjoy transparency, stability, and modern engineering practices.

About the Project

Cloud consulting team working with global clients on deploying, optimizing, and managing cloud infrastructure with a strong focus on GCP, Kubernetes, and automation.

• Client location: Czech Republic
• The team is growing due to increasing demand for infrastructure automation and large-scale GCP migration initiatives.

Requirements

• 5+ years of experience as a Data Engineer
• 2+ years of commercial experience with GCP
• English — Upper-Intermediate+

Why You Will Enjoy Working Here

• Remote-first company with a cloud-native culture
• Direct hands-on work with GCP
• Modern tech stack and infrastructure-first approach
• Stable long-term engagement with a growing team
• Clear processes and strong engineering culture

Responsibilities

• Design & Execute Migration Strategy: Lead the end-to-end data migration process, including BI integrations (e.g., AWS Quicksight → BigQuery) and thorough pipeline testing.
• Refactor Legacy Pipelines: Redesign complex Spark/PySpark transformation logic into GCP-native services (Dataproc Serverless, Dataflow, BigQuery SQL).
• Migrate Data Models: Manage migration of a large-scale data warehouse with 60+ interconnected DBT models, ensuring full logical and functional parity.
• Ensure Data Integrity: Build a comprehensive validation framework to ensure data accuracy between Databricks and BigQuery.
• Infrastructure as Code: Develop and maintain GCP infrastructure using Terraform.
• Automate & Deploy: Set up automated testing and deployment pipelines via GitLab CI/CD.
• Mentor & Support: Guide mid-level engineers with comparative queries, DBT model testing, and documentation of validation results.
• Drive Technical Decisions: Contribute to PoC-stage architectural decisions (lift-and-shift vs. full native refactoring).

We Offer

• 20 paid vacation days per year
• 5 paid sick leaves per year (no medical documents required)
• Personalized development plan with clear self-development goals
• Compensation for job-related trainings
• Work tools (PC, laptop, monitor) and workplace arrangement if needed
• Assistance with and compensation for English courses
• Flat, transparent internal communication
• Ability to switch between projects and technologies within the company
• Accounting support
• Free corporate psychologist services

If this role sounds like a good match, send over your CV, and we’ll share additional details about the project.