AI Data Engineer (Librarian)
Sydney, New South Wales, Australia
AUD 85K-120K (estimate) Mid-level Full Time
Tasks
- Assess data quality using automated tests
- Build and maintain data lineage for auditability
- Create ingestion workflows and nightly quality checks
- Define metadata schemas and taxonomy standards
- Design data catalogues for AI projects
- Implement metadata quality frameworks
- Integrate RAG pipelines with catalogue APIs
Perks/Benefits
- Annual offsite
- Hybrid work
- Learning library access
- Performance coaching
- Team lunches
- Unlimited training access
Skills/Tech-stack
AWS Glue | AWS Glue Data Catalog | Apache Atlas | Azure Purview | Collibra | DBT | Data Catalog | Data Lineage | Datahub | Dublin Core | GCP DataPlex | Glue Data Catalog | Great Expectations | JSON-LD | Neo4j | Ontology | OpenLineage | OpenMetadata | Python | RAG | RDF | SPARQL | SQL | Soda | Vector Databases
Education
N/A
Roles
AI | AI Data Engineer | Analyst | Data Engineer | Data Governance | Data Governance Analyst | Engineer | Governance Analyst
Regions
Countries
States
Cities
Language: en
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