Data Modeler (Arabic)

VPS Elite Human Resources Consultancies LLC

Dubai

On-site

AED 240,000 - 360,000

Full time

2 days ago
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Job summary

VPS Elite Human Resources Consultancies LLC in Dubai is seeking an experienced Data Modeler to design and maintain conceptual, logical and physical data models across lakehouse environments, ensuring governance, traceability and alignment with business requirements for analytics and AI initiatives.

The role requires deep expertise in dimensional modeling (Kimball), Data Vault concepts, SQL proficiency and hands-on experience with Spark/Delta and cloud platforms (Azure, Databricks, Synapse).

Qualifications

  • 6+ years of experience in Data Modelling across data warehouse, lakehouse or analytics programs.
  • Strong expertise in Conceptual, Logical & Physical Data Modelling.
  • Expert knowledge of Dimensional / Kimball Modelling.
  • Strong understanding of Data Vault, Canonical Models and Normalization.
  • Strong SQL skills.
  • Experience with Spark / Delta and cloud data platforms such as Azure / Microsoft Fabric, Databricks or Synapse.
  • Hands-on experience with modelling tools such as Erwin, ER/Studio, SqlDBM or equivalent.
  • Experience creating and maintaining Source-to-Target Mappings and Transformation Rules.
  • Strong understanding of Business Keys, Surrogate Keys, Referential Integrity, Historization & SCD.
  • Experience with Master & Reference Data Modelling.
  • Knowledge of Semantic Models, Power BI Data Models, Measures, Hierarchies & KPIs.
  • Experience publishing models and metadata to Microsoft Purview.
  • Strong understanding of Data Governance, Business Glossary & CDEs.
  • Knowledge of UAE PDPL, Dubai Data Law and DESC ISR.
  • Excellent English communication and documentation skills.

Responsibilities

  • Design and maintain data models across lakehouse architectures.
  • Ensure data structures are governed, traceable and aligned with business requirements.

Skills

Data Modeling
Dimensional Modeling
Data Vault
SQL
Spark/Delta
Azure/Databricks/Synapse
Erwin/ER/Studio/SqlDBM
Source-to-Target Mappings
Surrogate Keys
Data Governance
Power BI Data Models
Documentation

Tools

Erwin
ER/Studio
SqlDBM
Databricks
Azure
Microsoft Fabric
Synapse
Power BI

Job description

Experience: 6+ Years

Industry: Data / Analytics / Technology

Notice Period: Candidates who can join on or before 15 October 2026

Role Overview:

We are looking for an experienced Data Modeler to design and maintain conceptual, logical and physical data models across the lakehouse. The role will ensure data structures are consistent, governed, traceable and aligned with business requirements, supporting analytics, reporting and AI initiatives.

Mandatory to Have
  • 6+ years of experience in Data Modelling across data warehouse, lakehouse or analytics programs
  • Strong expertise in Conceptual, Logical amp; Physical Data Modelling
  • Expert knowledge of Dimensional / Kimball Modelling
  • Strong understanding of Data Vault, Canonical Models and Normalization
  • Strong SQL skills
  • Experience with Spark / Delta and cloud data platforms such as Azure / Microsoft Fabric, Databricks or Synapse
  • Hands-on experience with modelling tools such as Erwin, ER/Studio, SqlDBM or equivalent
  • Experience creating and maintaining Source-to-Target Mappings and Transformation Rules
  • Strong understanding of Business Keys, Surrogate Keys, Referential Integrity, Historization amp; SCD
  • Experience with Master amp; Reference Data Modelling
  • Knowledge of Semantic Models, Power BI Data Models, Measures, Hierarchies amp; KPIs
  • Experience publishing models and metadata to Microsoft Purview
  • Strong understanding of Data Governance, Business Glossary amp; Critical Data Elements (CDEs)
  • Knowledge of UAE PDPL, Dubai Data Law and DESC ISR
  • Excellent English communication and documentation skills
Preferred
  • UAE Government / regulated-sector experience
  • Experience with Data Classification, PII/Sensitive Data and Data Governance
  • Knowledge of DAMA-DMBOK2 DAMA CDMP or Fabric Analytics Engineer certification
  • Experience working with enterprise MDM platforms
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