Senior Google Cloud Platform Data Engineer
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Role details
Tech stack
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Job description
We are looking for a hands-on Senior Google Cloud Platform Data Engineer to design, build, and optimise enterprise-scale data platforms on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have deep expertise in BigQuery, Apache Iceberg, and cloud-native data engineering services, with experience delivering scalable, high-performance data solutions that support analytics, reporting, and AI-driven initiatives., * Design, develop, and maintain enterprise-scale data platforms on Google Cloud Platform.
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Build and optimise batch and streaming data pipelines using BigQuery, Dataproc, Dataflow, Pub/Sub, and GCS.
- Develop robust ETL/ELT frameworks, data models, and data quality solutions.
- Implement modern lakehouse architectures using Apache Iceberg.
- Design and manage end-to-end orchestration using Cloud Composer (Airflow).
- Optimise BigQuery workloads for performance, scalability, and cost efficiency.
- Implement CI/CD pipelines, Terraform, and operational monitoring.
- Enable trusted, governed, and AI-ready data foundations.
Requirements
- 10+ years of Data Engineering experience.
- Minimum 8+ years of hands-on Google Cloud Platform (Google Cloud Platform) experience.
- Proven experience building large-scale enterprise data platforms.
Mandatory Technical Skills Google Cloud Platform: BigQuery, Dataproc, Dataflow, Cloud Composer (Airflow), Pub/Sub, GCS, BigLake, Cloud Functions, Cloud Run Data Engineering: Python, SQL, PySpark, Apache Spark, Data Modeling, ETL/ELT, Batch & Streaming Processing Lakehouse & Automation: Apache Iceberg, Terraform, CI/CD, Infrastructure as Code, Monitoring & Observability
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