Data Modeler at Sabenza IT

Our client is looking for a Data Modeler to join their exceptional team.

This is a permanent role with Hybrid working models.

Relevant Experience

Platform reference architecture

Build relationships with data owners within the organization who provide information.
Need to keep up to date with new data assets and products to identify new opportunities, capabilities and trends that would add value to business.
Provide inputs to the EDM by collaborating with other modelers across group areas.
Identify opportunities for improvement and recommend new practices.

Data Modelling

Understand and translate business needs into data models supporting long-term solutions.
Model data required for both enterprise and business use.
Engage with the relevant data team to ensure that data models built adhere to the FirstRand modelling standards.
Create data models for analytics and reporting projects
Ensure models are approved by relevant bodies by presenting them to different governance bodies.
Propose and present data models to project teams and business stakeholders.
Maintain the data dictionary internal and external to the data model
Maintain the business glossary internal and external to the data model
Represents Markets area at the Data Modelling Design Authority (DMDA) .
Involved in the entire data modelling lifecycle i.e. Logical to Implemented Physical Model.
Understanding of the reference and master data requirements and the co-ordination around the use of surrogate keys and enterprise code values when building out data products.

Data Management

Identity and apply the right modelling principles for different datasets when modelling (Sensitive Data, Reference Data, Master Data, Personal Information)
Ensure data models are kept updated to reflect the most recent setting.
Catalogue data models and ensure the correct model ownership
Knowledge of data management policies and principles (PCI , PoPI , Data Privacy , BCBS239)
Optimize and update logical and physical data models to support new and existing projects.
Validate business data objects for accuracy and completeness.

Required Qualification

Degree in Computer Science / Information Systems

Preferred Qualification

Other eg. Professional Registrations Data Analysis and Modelling

Technical Knowledge/ Skills And Experience In Depth Knowledge Of

Knowledge of a programming languages (T-SQL, Python)
Knowledge of Erwin or other modeling tools
Global Markets Domain (Fixed Income, Foreign Exchange, Money Market, Commodities)

Experience