Data Virtualization Engineer
Posted 28 Sep 2026
Advertised as “Senior Denodo Data Virtualization Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Contract
- Contract
No salary listed for this role.
Field of studyComputer Science, Data Management, Engineering, Information Technology (or related)
Study levelBachelor's
About CodeNinja
CodeNinja is a global software and AI infrastructure company delivering full-stack technology solutions across AI, software engineering, data, and digital transformation.
With operations across Saudi Arabia and global technology hubs, CodeNinja works with organizations across multiple industries to deliver technology solutions that support business transformation and innovation.
Our teams work across areas including AI, software engineering, data and analytics, cloud, enterprise technology, and digital transformation.
CodeNinja is looking for a Senior Denodo Data Virtualization Engineer with strong hands-on experience in Denodo Data Virtualization, banking data modeling, and Enterprise Data Management (EDM).
About the Role
In this role, you will design, develop, and optimize data virtualization solutions that provide secure, governed, and high-performance access to data across multiple enterprise and banking data sources.
The ideal candidate will have practical experience working with Denodo, banking data models, EDW, BI, Big Data/Data Lakes, BusinessObjects BI, and Informatica Data Management technologies.
Key Responsibilities
- Design, develop, and maintain Denodo data virtualization layers for enterprise and banking environments.
- Develop reusable Base Views, Derived Views, Associations, Data Services, Cached Views, and Semantic/Business Views.
- Integrate and virtualize data from multiple sources, including EDWs, relational databases, data lakes, banking applications, operational systems, and APIs.
- Apply banking data modeling principles to build efficient and business-oriented virtual data models.
- Translate business and technical requirements into scalable data virtualization solutions.
- Optimize Denodo queries, joins, aggregations, caching strategies, and data source configurations.
- Implement appropriate data security, access control, masking, and governance mechanisms.
- Support enterprise-wide logical and semantic data models and data access services.
- Troubleshoot data quality, connectivity, integration, and performance issues.
- Support integration between Denodo and BusinessObjects BI and other analytics platforms.
- Develop and maintain technical documentation, including data mappings, virtual models, and solution designs.