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Data Modeler

Data Modeler

FiftyFive TechnologiesSaudi Arabia
30+ days ago
Job description

Education : Master’s degree in Computer Science, Data Science, Information Systems, or a related field (must have)

Job Summary :

This job requires relocations to Saudi Arabia for 12 months.

We are seeking an experienced Data Modeler to design and maintain scalable, standardized, and business-aligned data models for SST and analytics initiatives within a leading telecom organization. The ideal candidate will have a strong background in telco data modeling, excellent collaboration skills, and the ability to drive consistency across various data domains, including CVM, AI, and reporting.

Key Responsibilities :

  • Design and maintain conceptual, logical, and physical data models to support SST and analytics initiatives.
  • Define and manage standardized telco-wide entities such as customer, usage, and billing data.
  • Ensure data consistency and alignment across CVM, AI, and reporting use cases.
  • Collaborate with integration experts and data analysts to evolve schema designs based on business and technical needs.
  • Maintain and optimize data models for performance, scalability, and reusability .
  • Align data modeling practices with industry standards and internal governance policies.

Required Skills & Qualifications :

  • 5–8 years of hands-on experience in data modeling, including conceptual, logical, and physical modeling.
  • Proven experience working in the telecommunications industry with deep understanding of telco-specific data entities.
  • Proficiency in data modeling tools such as ER / Studio, Erwin, or similar.
  • Familiarity with data warehousing, ETL processes , and data governance principles .
  • Strong knowledge of relational and non-relational database systems (e.g., Oracle, SQL Server, PostgreSQL, NoSQL).
  • Excellent communication and collaboration skills , with the ability to work cross-functionally with technical and business teams.

    • Preferred Qualifications :

  • Experience with big data platforms (e.g., Hadoop, Spark) and cloud data environments (e.g., AWS, Azure, GCP).
  • Knowledge of AI / ML workflows and how data modeling supports predictive analytics.

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    Data Data • Saudi Arabia