Job Description

Data Modeller Aionos

Senior Data Modelller

About the Role:

We are seeking an experienced Senior Data Modeller to join our team. In this role, you will be responsible for designing and standardization of enterprise-wide data models across multiple domains such as Customer, Product, Billing, and Network. The ideal candidate will work closely with cross-functional teams to translate business needs into scalable and governed data structures. You will work closely with customers, and technology partners to deliver data solutions that address complex business requirements including customer experience management, network optimization, revenue assurance, and digital transformation initiatives.

Responsibilities:

Design logical and physical data models aligned with enterprise and industry standards
Create and maintain data models for Customer, Product, Usage, and Service domains
Translate business requirements into normalized and analytical schemas (Star/Snowflake)
Define and maintain entity relationships, hierarchy levels (Customer – Account – MSISDN), and attribute lineage
Standardize attribute definitions across systems and simplify legacy structures
Collaborate with engineering teams to implement models in cloud data platforms (e.g., Databricks)
Collaborate with domain stewards to simplify and standardize legacy data structures
Work with governance teams to tag attributes for privacy, compliance, and data quality
Document metadata, lineage, and maintain version control of data models
Support analytics, reporting, and machine learning teams by enabling standardized data access
Design solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics
Qualifications:

Bachelors or masters degree in computer science, Data Science, or a related technical field
7+ years of experience in data modelling roles
Hands-on experience building data models and platforms
Strong experience with data modeling tools (Erwin,Azure Analysis services, SSAS, dbt, informatica)
Hands-on experience with modern cloud data platforms (Databricks, Azure Synapse, Snowflake)
Deep understanding of data warehousing concepts and normalized/denormalized models
Expertise in SQL, data profiling, schema design, and metadata documentation
Familiarity with domain-driven design, data mesh and modular architecture
Experience in large-scale transformation or modernization programs
Knowledge of regulatory frameworks such as GDPR or data privacy-by-design
Role: Data Science & Analytics – Other
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics – Other
Education
UG: Any Graduate