Senior Data Engineer – Google Cloud Platform (GCP) (Contract)

SUMMARY:
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POSITION INFO:
PBT Group is seeking an experienced Senior Data Engineer with strong Google Cloud Platform (GCP) expertise to join a project focused on designing, developing and optimising scalable, cloud-native data platforms and near-real-time data pipelines. The successful candidate will have extensive experience building highly parallelised, distributed data-processing solutions, with a strong understanding of batch and streaming architectures, event-driven processing and cloud-based data engineering. Key Responsibilities Design, develop and maintain scalable data pipelines and cloud-native data solutions on Google Cloud Platform. Build and optimise batch-processing and near-real-time data pipelines. Design and implement highly parallelised distributed data-processing solutions. Develop and manage workloads using Cloud Run and Google Kubernetes Engine (GKE). Design and implement streaming architectures using Pub\/Sub and Dataflow. Work with large-scale datasets and optimise data processing for performance, scalability and cost efficiency. Implement and maintain data workflows and orchestration solutions. Collaborate with technical teams and stakeholders to deliver robust, reliable and scalable data solutions. Required Skills and Experience 8+ years of experience in Data Engineering. Strong, practical experience with Google Cloud Platform (GCP), particularly: BigQuery Google Cloud Storage Dataflow Cloud Composer Cloud Run Google Kubernetes Engine (GKE) Dataproc Pub\/Sub Strong experience with dbt. Advanced Python and SQL skills. Proven experience designing and developing distributed data-processing solutions. Strong understanding of highly parallelised processing, event-driven architectures and near-real-time data pipelines. Experience developing and optimising both batch and streaming data solutions. Complementary Skills Experience with any of the following will be advantageous: Microsoft Azure and\/or AWS. Power BI and\/or Looker. Apache Spark. Terraform and Infrastructure as Code. Microservices architectures. Event-driven architecture and integration patterns. Qualifications Relevant degree in Computer Science, Information Technology, Engineering or a related field. Google Cloud Professional Data Engineer certification would be advantageous. Contract Details Location: Johannesburg – Hybrid Contract Duration: 12 months Expected Start Date: December 2026 \/ January 2027