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PBT Group

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Senior Data Engineer

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Summary

Senior Data Engineer at PBT Group in Johannesburg (hybrid, 12-month contract) who designs, builds and optimises scalable cloud-native data platforms and near-real-time pipelines on Google Cloud Platform, working with BigQuery, Dataflow, Cloud Run, GKE, Pub/Sub, dbt, Python and SQL.

Senior Data Engineer job vacancy in Johannesburg.

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.

Minimum Requirements:

  • 8+ years of experience in Data Engineering.
  • Strong, practical experience with Google Cloud Platform (GCP), particularly:
    • Big Query
    • 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.

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