About the Role
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.
Key Responsibilities
Design, develop, and maintain enterprise-scale data platforms on Google Cloud Platform.
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.
Required Qualifications
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
