GCP Data Engineer

Build GCP data pipelines, AI/ML solutions and MLOps frameworks using Dataflow, Apache Beam, BigQuery, Kubeflow and Python.

10th August, 2026

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 efficient 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.