Senior GCP Data Engineer

Senior GCP Data Engineer Budget: up to 180 pln/h Client Description • Global digital platform • Hundreds of millions of users worldwide • Consumer-facing subscription products • Personalized data-driven experiences Culture: • collaboration • experimentation • engineering excellence • cloud-native environment Project Description Part of: • Data Infrastructure modernization • Data Platform modernization Focus: • cloud-native data engineering on GCP Team responsibilities: • evolving large-scale pipelines • migrating to modern cloud stack • cost-efficient and reliable architecture Responsibilities • Design/implement/migrate pipelines to GCP • BigQuery as analytics layer • Batch and streaming pipelines • Validate:• performance • reliability • scalability • cost efficiency • Contribute to modern cloud-native stack • Work with: • platform engineers • infrastructure engineers • Support shared platform components • Own delivered solutions Project Type • New project Duration • From: 15 June 2026 • To: 31 December 2026 Work Type • Remote Must Have • Strong Data Engineering experience • Java • GCP • BigQuery • SQL • Analytical data modeling • Beam / Dataflow / Spark / Flink • Batch/streaming pipelines • Kubernetes basics • Cloud infrastructure • DevOps practices • Maintainable code • Ownership mindset Should Have • Platform engineering • Scala and/or Python • Distributed engineering organizations • Monitoring / observability Nice to Have • Apache Flink • Large-scale migrations • Cloud cost optimization • Lakehouse architectures • Modern data platforms Additional Requirements Must Have Practical experience with: • Claude Code • GitHub Copilot • Cursor Nice to Have Interest in: • agent-based workflows • automation patterns • AI-augmented development • experimentation beyond standard approaches