Data Engineer/GDP — Melbourne CBD, Melbourne

· At least 5 years in data engineering · Hands-on experience with Google Cloud (BigQuery, DataFlow, DataFusion, Vertex AI and similar services) · Proficiency in languages like SQL, Python and understanding of data modelling techniques. · Familiarity with ETL tools (preferably Datastage) and data integration processes is essential. Experience in various architecture and solution patterns, and data platform automation frameworks leveraging technologies like Airflow, Terraform (or similar technologies), Python etc · Knowledge of big data architectures and emerging trends in the field such as data mesh, fabric, medallion architecture · Demonstrated experience/knowledge in AI/ ML and GenAI capabilities across a variety of technology vendors and cloud platforms · Be vocal, good communicator and co-ordinator