Company Description

Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, infrastructure, cybersecurity, DevSecOps, software engineering, data, AI/ML, and digital transformation programs.

We partner with government and enterprise organisations to build high-performing technology teams that deliver secure, scalable, and future-ready solutions within complex technology environments.

The Role

We are seeking an experienced GCP Data & MLOps Engineer to support the design, development, and delivery of modern data, AI/ML, and cloud-native solutions.

This role is suited to a hands-on engineer with strong experience across Google Cloud Platform, Dataflow, Apache Beam, BigQuery, Kubeflow, Python, and DevOps/MLOps practices. You will work across data pipeline development, AI solution delivery, model lifecycle management, cloud automation, and application development to support scalable and productive platform outcomes.

Key Responsibilities

- Design, build, and maintain data pipeline frameworks using Google Cloud Platform.

- Develop customised data pipeline solutions using Dataflow and Apache Beam.

- Build and maintain Dataflow Flex Template Frameworks and reusable Python libraries.

- Develop scalable data processing and transformation solutions using Python and BigQuery.

- Perform BigQuery data extraction, preprocessing, and automated job scheduling.

- Design and implement Kubeflow Pipelines for automated ML pipeline creation and deployment.





- Support AI/ML solution delivery across GCP-based platforms and services.

- Implement DevOps and MLOps practices across the data and machine learning lifecycle.

- Manage model lifecycle, maintenance, and governance using GCP Model Registry.

- Enable continuous deployment of Django applications on Google Cloud Platform.

- Automate deployment and management of Cloud Run services and Cloud Functions.

- Implement CI/CD pipelines using Cloud Build and related GCP tooling.

- Develop REST API-based microservices to support platform and application integration.

- Implement security services including Secret Manager and Cloud KMS.

- Build dashboards and web applications using Python Django and R Shiny.

- Optimise application code, data pipelines, and technical deliverables to improve performance.

What You'll Need

- Strong hands-on experience with Google Cloud Platform.

- Experience developing data pipelines using Dataflow and Apache Beam.

- Strong Python development skills and experience building reusable Python libraries.

- Experience working with BigQuery for data extraction, preprocessing, and scheduling.





- Experience building Dataflow Flex Template Frameworks is highly regarded.

- Experience delivering AI-based solutions on GCP is advantageous.

- Strong understanding of DevOps and MLOps practices.

- Experience designing and implementing Kubeflow Pipelines is highly regarded.

- Experience with GCP Model Registry and model lifecycle management is advantageous.

- Experience developing REST APIs and microservices.

- Experience with Python Django application development is highly regarded.

- Experience deploying and managing Cloud Run and Cloud Functions.

- Experience with automated CI/CD pipelines using Cloud Build.

- Knowledge of Secret Manager, Cloud KMS, and cloud security practices is advantageous.

- Experience with R Shiny dashboards is highly regarded.

- Strong understanding of cloud-native application development and platform automation.

- Strong analytical, troubleshooting, and performance optimisation skills.

- Good communication skills with the ability to work across technical and business teams.

Why Join Us?

- Work on modern GCP-based data, AI/ML, and platform engineering solutions.

- Build scalable cloud-native data pipelines and machine learning workflows.

- Gain exposure to Dataflow, Apache Beam, Kubeflow, BigQuery, and MLOps practices.

- Contribute to automation, CI/CD, and cloud platform modernisation initiatives.

- Collaborate with experienced cloud, data, software engineering, and delivery teams.

- Join a consulting culture focused on innovation, technical excellence, and continuous improvement.

📌 GCP Data Engineer (Australian Capital Territory)
🏢 Showtime Consulting
📍 Australian Capital Territory