GCP Data Engineer

Location: Poland; work from the European Union region and a work permit are required.

Company

hirify.global is a global AI-first digital transformation and engineering partner delivering scalable products, platforms, data-driven solutions, and AI solutions across 16 countries.

What you will do

• Design, develop, and optimize ETL/ELT pipelines on Google Cloud Platform.
• Optimize Spark workloads on Dataproc and Dataproc Serverless, including workload routing and cloud-cost optimization.
• Design and maintain ingestion processes for Bronze, Silver, and Gold data layers and organize raw data in Google Cloud Storage.
• Build event-driven orchestration with Pub/Sub and Apache Airflow, including complex DAGs, reprocessing, backfills, and reusable workflow patterns.
• Extend metadata-driven generators and platform tooling, including artifact generation, regeneration, and distribution.
• Improve pipeline observability, reliability, and operational support while collaborating with platform, analytics, and DevOps teams.

Requirements

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

Culture & Benefits

• Engineering-focused environment with a consulting mindset.
• People-first culture with continuous growth and knowledge sharing.
• Collaboration across platform, analytics, and DevOps teams.
• Exposure to modern technologies including AWS, Azure, GCP, Databricks, and Snowflake.

Hiring process

• CV review.
• HR call and interview.
• Client interview followed by a hiring decision.