Data Modeller

Recruiter:

H2R Africa

Job Ref:

JHB001212/DH

Date posted:

Monday, May 11, 2026

Location:

Pretoria, South Africa

Salary:

Hourly

SUMMARY:
We are seeking a Data Modeller to join our client in the Financial Industry growing analytics team.
This role is central to designing, structuring, and optimising data models that support business intelligence, reporting, and advanced analytics across the organisation.
You’ll work closely with data architects, engineers, and business stakeholders to ensure our data assets are accurate, scalable, and aligned with strategic objectives.

POSITION INFO:
PLEASE NOTE THAT NO CV'S WILL BE KEPT FOR FUTURE USE. ONLY APPLY IF YOU QUALIFY IN FULL.

ð What You’ll Do

Design, implement and document data modelling solutions which include but not limited to the use of relational, dimensional and NoSQL databases
Develop and maintain conceptual, logical and physical data models as required by business units and their various programmes
Identify and adopt an enterprise data model as a standard for data model designs to leverage best practice and fast track modelling efforts
Monitor, measure and report the data modelling and data development quality levels to ensure the correct information is captured on business requirements.
Assume the key responsibility for remediation of data models and data development issues.
Perform reverse engineering of physical data models from databases and SQL scripts.
To monitor, measure and report the data modelling and data development quality levels to ensure the correct information is captured on business requirements.
To develop and manage stakeholder relations effectively to promote data modelling awareness across the organisation and support reliable decision making.

Minimum Qualification Required:

A minimum of a Bachelor’s degree in Computer Science or Information Management OR equivalent;
A minimum of five to eight years’ experience in a data management environment

Additional requirements include:

Capacity and performance management
Extensive knowledge of best practices/methodologies in data warehousing and multidimensional data modelling (OLAP e.g. ESSBASE or Microsoft Analysis Services), system design and management.
Extensive knowledge of most data modelling techniques;
Extensive knowledge of the most common RDBMS technologies (e.g. Oracle, IBM, SQLServer, MySql);
Experience in deploying and managing big bata environments (e.g HADOOP, SPARK and NoSQL);
Knowledge of database query languages (e.g. SQL);

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