Data Modeler (Banking)

Alfa AI


Date: 9 hours ago
City: Abu Dhabi
Contract type: Full time
Role Overview

We are seeking an experienced Data Modeler with a strong background in the banking sector to join our client’s team in Abu Dhabi on a temporary contract basis. This role requires a hands-on professional who can design, implement, and optimize complex data models to support strategic and operational decision-making across the organization. You will be a key player in translating business needs into robust and scalable data structures.


Key Responsibilities
  • Design, develop, and maintain logical and physical data models to support business intelligence, analytics, and application development needs within a banking environment.
  • Collaborate closely with data engineers, architects, business analysts, and key stakeholders to ensure data models are aligned with business requirements and technical constraints.
  • Translate complex business concepts into scalable, efficient data structures, ensuring data consistency, integrity, and quality across various banking systems.
  • Champion and enforce data modeling standards, best practices, and governance processes, including comprehensive documentation of data models and dictionaries.


Required Skills & Qualifications
  • Proven experience as a Data Modeler, Data Architect, or a similar role, specifically within the banking or financial services industry.
  • Strong understanding of data warehousing concepts (e.g., Kimball, Inmon), relational databases, and ETL/ELT processes.
  • High proficiency with industry-standard data modeling tools such as Erwin, PowerDesigner, or similar.
  • Excellent SQL skills for data analysis and validation, with experience working on large-scale data platforms.
  • Strong communication and stakeholder management skills, with the ability to articulate complex technical concepts to non-technical audiences.
  • Must be immediately available to start and eligible to work in the UAE.


Nice-to-Have Qualifications
  • Experience with cloud-based data platforms (e.g., Azure Synapse, Snowflake, AWS Redshift).
  • Familiarity with data governance frameworks and tools (e.g., Collibra, Alation).
  • Knowledge of banking-specific data domains such as retail banking, corporate banking, risk, or compliance.

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