VOIS is seeking a GCP Data Engineer to design, build, and operationalise cloud-based data processing solutions on Google Cloud Platform. The role requires strong proficiency in SQL and data modelling concepts, hands-on experience with GCP ecosystem, and practical experience with DBT and Data Vault 2.0 concepts.
Requirements
- Prepare low-level designs (LLD) aligned to high-level designs (HLD) defined by the project architect.
- Build, deploy, and operationalise data processing systems in line with approved designs.
- Develop and optimise data pipelines using GCP services such as BigQuery and Airflow.
- Apply standard and innovative cloud data pipeline patterns, working effectively within product constraints.
- Act as a subject matter expert in GCP data engineering, supporting and mentoring junior team members.
- Demonstrate continuous learning and apply new skills and technologies in day-to-day delivery.
- Manage small teams or projects end-to-end, from build through to closure, when required.
- Contribute to organisational improvements through process adoption, resource optimisation, and tooling enhancements.
- Actively contribute technical expertise to internal guilds and communities of practice
Benefits
- Opportunity to work on enterprise-scale data platforms within a global organisation.
- Exposure to modern cloud data engineering practices and tools on Google Cloud Platform.
- A collaborative environment that values knowledge sharing, continuous improvement, and quality delivery.
- The chance to contribute beyond projects through guilds, process improvements, and tooling initiatives.

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