GCP Data Engineer

GCP Data Engineer Budget: up to 180zł/h Client Description • Global technology organization • Delivers advanced digital solutions across:• data • infrastructure • analytics • Focus on: • cloud transformation • scalability • engineering excellence • Large-scale migration and modernization program Project Description Multi-phase cloud transformation and migration initiative: • June 2026 → March 2027 • Executed in parallel streams Goal Move from: • MVP phase • to self-service capabilities • and full-scale migration with automation and AI enablement Phases • MVP – foundational platform setup • Self-service & Automation • Migration – large-scale migration Responsibilities • Design/build scalable data pipelines on GCP • Develop and optimize data models using:• BigQuery • dbt • Build/manage: • real-time processing • batch processing • Kafka pipelines • Ensure: • data quality • consistency • reliability • Support migration of legacy systems • Collaborate with: • Data Architects • Platform Engineers • Analytics teams • Enable self-service data capabilities • Implement: • monitoring • logging • observability • Optimize: • performance • cost • Contribute to: • governance • engineering standards Duration • From: 08 June 2026 • To: 31 March 2027 Work Type • Remote Must Have • BigQuery • dbt • Kafka • Strong data pipeline experience • SQL • GCP/cloud data platforms • Data modeling:• DWH • ELT/ETL • Experience in complex environments • Problem-solving skills • Ownership mindset • Communication skills Should Have • Data platform / data mesh concepts • CI/CD for data workflows • Python or Scala • Data quality frameworks • Governance/security best practices • Cloud migration experience • Airflow / Cloud Composer Nice to Have • Real-time analytics • Self-service data platforms • BigQuery cost optimization • Enterprise transformations • GCP certifications • International distributed teams