[Hiring] GCP Data Engineer @Poland and Central-Eastern Europe

Role Description

• Designing, developing, and optimizing ETL/ELT pipelines on Google Cloud Platform.
• Optimizing Spark workloads running on Dataproc and Dataproc Serverless.
• Implementing workload-routing strategies and cost-optimization mechanisms.
• Designing and maintaining data-ingestion processes for Bronze, Silver, and Gold layers.
• Organizing and managing raw-data structures in Google Cloud Storage.
• Designing and implementing event-driven orchestration using Pub/Sub and Apache Airflow.
• Developing, maintaining, and optimizing Airflow DAGs and orchestration frameworks.
• Implementing data reprocessing and backfill capabilities.
• Consolidating related processing workflows into reusable orchestration patterns.
• Extending and improving metadata-driven generators and platform tooling.
• Supporting artifact generation, regeneration, and distribution processes.
• Improving observability, reliability, and operational support for data pipelines.
• Collaborating with platform, analytics, and DevOps teams on architecture and implementation decisions.

Qualifications

• Strong commercial experience building and operating data platforms on Google Cloud Platform.
• Hands-on experience with Dataproc and Apache Spark.
• Experience designing and developing ETL/ELT pipelines.
• Experience with BigQuery and Google Cloud Storage.
• Strong SQL and Python skills.
• Experience optimizing data-processing performance and cloud costs.
• Experience designing ingestion frameworks and reusable data-processing components.
• Understanding of data-platform architecture patterns, including Bronze/Silver/Gold layers.
• Experience troubleshooting and supporting production data pipelines.
• Strong hands-on experience with Apache Airflow.
• Experience designing, implementing, and maintaining complex DAGs.
• Work from the European Union region and a work permit are required.

Recruitment Process

• CV review
• HR call
• Interview
• Client Interview
• Decision