GCP Data Engineer

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.