Data Modeler

VerityX Talent; Abu Dhabi; Presencial; AED 200.000 - 320.000; Jornada completa

Descripción de la vacante

VerityX Talent is seeking an experienced Data Modeler in Abu Dhabi to design, develop and maintain enterprise data models supporting data warehousing, analytics and data governance initiatives.

The role translates business requirements into conceptual, logical and physical data models, ensuring data is structured, accurate and optimised for BI and technical needs. Collaboration with data architects, engineers and governance teams is essential.

Formación

• Bachelor's degree in CS/IT/Data Engineering/IS or related field.
• 6+ years in data modelling, database design, data warehousing or related data management roles.
• Proven hands-on experience developing data models.

Responsabilidades

• Design, develop and maintain conceptual, logical and physical data models for enterprise data platforms.
• Develop dimensional data models (star/snowflake schemas) for data warehouses and reporting environments.
• Apply relational database design principles including normalization, keys, relationships and referential integrity.
• Design and maintain data models for data warehouses, data marts, data lakes and lakehouse environments.
• Translate business requirements into data entities, attributes, relationships and structures.
• Develop and maintain source-to-target mappings, transformation rules and data definitions for ETL/ELT processes.
• Establish and apply data modelling standards, naming conventions and data definitions.

Conocimientos

Data Modelling

SQL

Data Warehousing

Data Governance

Educación

Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems or a related discipline

Descripción del empleo

Location: Abu Dhabi, UAE (On-site)

Employment Type: Full-time

Experience Required: 6+ years in Data Modelling or related Data Management disciplines

Role Summary

We are seeking an experienced Data Modeler to design, develop and maintain enterprise data models that support data warehousing, analytics, business intelligence and data management initiatives.

The successful candidate will be responsible for translating business requirements into conceptual, logical and physical data models, ensuring data is structured, consistent, accurate and optimised for business and technical requirements.

The role requires strong expertise in data modelling methodologies, database design, SQL and data warehousing concepts, with experience working alongside data architects, data engineers, business analysts and data governance teams.

The ideal candidate will have a proven track record of developing scalable data models for complex enterprise data environments.

Key Responsibilities

• Data Modelling: Design, develop and maintain conceptual, logical and physical data models to support enterprise data platforms, databases and analytical systems.
• Dimensional Modelling: Develop dimensional data models, including star schemas, snowflake schemas, fact tables and dimension tables for data warehouses and reporting environments.
• Database Design: Apply relational database design principles, normalisation, primary and foreign keys, relationships and referential integrity.
• Data Warehouse Modelling: Design and maintain data models for data warehouses, data marts, data lakes and lakehouse environments.
• Business Requirements Analysis: Collaborate with business analysts and stakeholders to translate business requirements into data entities, attributes, relationships and data structures.
• Source-to-Target Mapping: Develop and maintain source-to-target mappings, transformation rules and data definitions to support data integration and ETL/ELT processes.
• Data Modelling Standards: Establish and apply data modelling standards, naming conventions, data definitions and documentation practices.
• SQL Development: Use SQL to analyse data structures, validate models, investigate data relationships and support data transformation requirements.
• Data Governance: Work with data governance teams to ensure data models align with data quality, metadata management, master data management and business glossary requirements.
• Model Optimisation: Review and optimise data models to improve database performance, scalability, consistency and maintainability.
• Model Documentation: Maintain entity relationship diagrams (ERDs), data dictionaries, data models and technical design documentation.
• Data Model Maintenance: Manage changes to data models, assess impacts on downstream systems and maintain version control.
• Technical Collaboration: Work closely with data architects, data engineers, database administrators and analytics teams to support implementation and ongoing development.

Required Qualifications and Experience:

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems or a related discipline.
• 6+ years of experience in data modelling, database design, data warehousing or related data management roles.
• Proven hands-on experience developing