The Company:
Newly created greenfield role to work in a leading Australian based company that has operations across Asia Pacific. Be a key contributor in enabling AI driven decision-making and optimises operational processes.

The Role:
Be part of a team responsible for the design, build and implementation of scalable data pipelines and integration that enables AI-driven initiatives within a Google environment.

Key responsibilities include:

• Develop and maintain scalable batch & real-time pipelines & ETL processes.
• Develop and implement machine learning models and operational workflows.
• POCs for different data solutions for data integration and consumption models.
• Design and implement effective integration workflows.
• Data management & Data quality.
• Strong collaboration across the business to deliver reliable data solutions.

Your Skillet:

• Proven experience in developing and implementing machine learning models and operational workflows within Google Cloud.
• Demonstrated expertise with Google Vertex AI environments.
• BigQuery & Snowflake.
• SQL.
• Expertise in ETL processes, data engineering best practices, and real-time data streaming.
• Experience with both structured and unstructured data sets
• CI/CD - Azure DevOps / GitHub.
• Familiarity with a range of data formats and sources including APIs, XML, JSON, Parquet, and event-driven architectures.
• Experience with data orchestration tools, such as Airflow, Coalesce, Azure Data Factory, or Azure Logic Apps.

You must hold Australian PR or Citizenship to be eligible for consideration.

Please apply below.