The company is seeking experienced Data Scientists with strong expertise in semantic modeling, data product development, and AI-ready data architectures. The successful candidate will focus on designing and building semantic data models that can be seamlessly consumed by AI agents, analytics platforms, and business applications.
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The role involves working closely with data engineering, AI, and business teams to define business KPIs, establish data relationships, and develop the necessary semantic and SQL layers to support intelligent data consumption. This is a strategic position that will contribute to the organization's long-term AI and analytics roadmap.
Key Responsibilities:
- Design and develop enterprise semantic data models for AI, analytics, and business consumption.
- Define and implement business KPIs, metrics, dimensions, hierarchies, and data relationships.
- Build and maintain semantic and logical data layers to support AI agents, reporting, and advanced analytics use cases.
- Develop performant SQL-based semantic views and reusable data assets.
- Collaborate with data engineers to integrate semantic models with data products and enterprise data platforms.
- Translate business requirements into scalable semantic models.
- Ensure consistency, governance, and standardization of business definitions across data domains.
Required Skills & Experience:
- Strong experience in Databricks, PySpark, and SQL.
- Experience with Oracle databases and enterprise data platforms.
- Deep understanding of semantic modeling, dimensional modeling, and data product concepts.
- Hands-on experience defining business KPIs, measures, and metrics.
- Knowledge of relational and analytical data modeling techniques.
- Familiarity with metadata management, data governance, and business glossaries.
- Understanding of AI/GenAI use cases and data consumption patterns for AI agents.
Preferred Skills:
- Experience with large-scale data modernization and cloud data platforms.
- Exposure to RAG, Agentic AI, or enterprise AI solutions.
- Knowledge of Data Mesh and Data Product operating models.
- Experience in Banking and Financial Services environments.
Application Deadline: 8th-Oct-2026
Location: Dubai, United Arab Emirates
Job Type: Full-time
Work Conditions: On-site
