Note: The job is a remote job and is open to candidates in USA. Harnham is recruiting for an unnamed, rapidly growing data-driven technology company. The Senior GCP Data Engineer will modernize and evolve its cloud-native analytics platform, owning data architecture and scalable data solutions while partnering with stakeholders to support data-informed decision-making.

Responsibilities

• Architect and enhance a cloud-native data platform with a focus on data warehouse and data lake design
• Build and maintain batch and real-time data pipelines using Python, SQL, Apache Beam, and cloud-native streaming technologies
• Design scalable data models, datasets, and reporting layers that support analytics and business intelligence requirements
• Develop and manage workflow orchestration using Apache Airflow/Cloud Composer
• Implement data quality, monitoring, validation, reconciliation, and governance best practices
• Optimise warehouse performance through partitioning, clustering, query tuning, and cost management
• Drive adoption of CI/CD, infrastructure automation, documentation standards, and operational processes

Skills

• 5+ years of hands-on Data Engineering experience building and supporting production data platforms
• Strong expertise with Google Cloud Platform (GCP), including BigQuery and core GCP data services
• Advanced Python and SQL development experience
• Experience with Apache Beam/Dataflow, Pub/Sub, Cloud Storage, and streaming data architectures
• Strong experience with Apache Airflow/Cloud Composer and modern transformation frameworks such as dbt or Dataform

Benefits

• Equity
• Remote work (must be US-based)

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