We are seeking a proactive Data Engineer to build, scale, and optimize reliable data pipelines
across our Google Cloud Platform (GCP) analytics ecosystem.
In this role, you will work hands-on with tools like BigQuery, dbt, and lightweight orchestration to ingest, transform, and model data from key enterprise systems—including Salesforce, SAP, billing platforms, and MarTech/AdTech sources.
Core Responsibilities
- Pipeline Engineering: Develop, test, and maintain batch and event-driven data pipelines using Python, BigQuery, dbt, and Cloud Workflows.
- Data Modeling & Quality: Build modular transformation models in BigQuery using dbt, writing automated tests and documentation to ensure data quality and schema consistency.
- Infrastructure & CI/CD: Implement and update GCP infrastructure using Terraform, maintaining CI/CD deployment pipelines across development and production.
- Performance & Migration Support: Assist in migrating legacy data workflows to GCP, profiling and tuning BigQuery SQL queries to improve performance and control costs.
- Cross-Functional Collaboration & Standards: Partner directly with Product Managers and commercial MarTech/AdTech teams to translate audience, campaign, and attribution requirements into robust data models. Collaborate closely with software engineering peers to align on API data contracts, participate in peer code reviews, and champion code-first development practices.
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Data Engineer in Sydney employer: iVEGA Global
Join a dynamic and innovative team as a Data Modeler, where your expertise will be valued and your contributions recognised. Our collaborative work culture fosters professional growth and development, offering you the chance to work with cutting-edge Azure technologies in a supportive environment. Located in a vibrant area, we provide competitive benefits and unique opportunities for career advancement, making us an exceptional employer for those seeking meaningful and rewarding work.
