Data Engineer (GCP)

Digiscorp; Kraków; Hybrid; PLN 90,000 - 120,000; Full time

Job summary

A European IT company seeks an experienced Data Engineer to lead data migration and cloud automation projects. The ideal candidate will have over 5 years of experience in data engineering and at least 2 years with GCP and Terraform. The role offers a remote-first working environment, a modern tech stack, and opportunities for mentoring. Join a growing team focused on infrastructure automation and significant GCP migration initiatives.

Benefits

Remote-first company with cloud-native culture

Stable long-term engagement

Modern tech stack

Strong engineering culture

Qualifications

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

Responsibilities

• Lead the end-to-end data migration process and BI integrations.
• Redesign complex transformation logic into GCP-native services.
• Manage migration of a large-scale data warehouse.
• Build a validation framework to ensure data accuracy.
• Develop and maintain GCP infrastructure using Terraform.
• Set up automated testing and deployment pipelines.
• Guide mid-level engineers in technical queries.
• Contribute to architectural decisions.

Skills

Data migration strategy design

GCP experience

Terraform

Automated testing

Mentoring skills

Tools

GitLab CI/CD

BigQuery

Databricks

Spark/PySpark

Job description

Digis is a European company of 200 employees. The company was founded 9 years ago and has managed to grow from a startup into a reliable partner for our clients. We took the best from the product and outsourcing company. You collaborate directly with the client's team, make business trips....

Digis isaEuropean ITcompany with 200+ specialists delivering complex SaaS products, enterprise platforms, and AI-powered solutions worldwide.

Wepartner 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.

The team is growing due to increasing demand for infrastructure automation and large-scale GCP migration initiatives.

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 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).

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