
Posted 1 day ago
Collibra Developer – Data Quality (CDQ)
AI Summary
Configures and deploys Collibra Data Quality rules for a financial institution's governance programme, builds lineage and quality dashboards, and supports system onboarding with technical documentation.
About this role
About Billigence:
Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture.
About the Role:
We are hiring a Collibra CDQ Developer to support rule development and deployment across prioritized systems as part of a strategic Data Governance programme for a leading financial institution. This role is ideal for someone with strong hands-on Collibra DQ experience and a passion for delivering enterprise-grade data quality solutions.
Key Responsibilities:
- Configure and deploy Collibra Data Quality (CDQ) rules aligned to business-defined requirements.
- Translate COE-based logic into executable DQ validations.
- Build and maintain lineage and quality dashboards within Collibra.
- Support seamless onboarding of systems with minimal disruption to client teams.
- Participate in weekly progress reporting including rule coverage and adoption.
- Provide technical documentation and assist with knowledge handover.
Required Skills & Experience:
- 2+ years of Collibra DQ
- Collibra Rangers Preferred
- broader Collibra development experience.
- Hands-on experience writing and configuring DQ rules.
- Strong understanding of data lineage, profiling, and governance best practices.
- SQL proficiency and experience working in enterprise data environments (ideally financial services).
- Strong team collaboration and communication skills.
Skills
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