Designing conceptual and logical data models and developing these into physical data models to enable the development and scaling of enterprise data platforms
Job Summary
Designing conceptual and logical data models and developing these into physical data models to enable the development and scaling of enterprise data platforms.
Supporting Data Architects to design modern data architecture for enterprise data platforms that rely on harmonized, standardized and enriched data.
Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave.
Matching Summary
Designing conceptual and logical data models and developing these into physical data models to enable the development and scaling of enterprise data platforms.
Skills & Requirements
Must-have
Design conceptual and logical data models
Develop physical data models
Build relational and NoSQL databases
Create data entity diagrams and workflows
Support data architects
Extract, load, and transfer data
Conduct data assessments
Automate physical data model building
Share data modelling perspectives
Develop data standards and policies
Nice-to-have
Cloud certifications
Data Governance certifications
Online training platform evidence
Key Requirements
Minimum of 5 years in cloud data modelling
Hands-on experience with data transformation tools
Experience with Logical to Physical Data Models
Familiarity with Python (PySpark) and SQL
Proficiency in Business English (B2+)
Experience building data warehouses, data lakes, data lakehouses