Data Modeller

Job Location : Western Cape, Cape Town
Deadline : April 25, 2025

Role overview :

• A data modeler is a systems engineer who organizes raw data to make it easier to understand and process. The role will help data analysts understand trends, opportunities, and solutions to technical problems. This will be accomplished through the use of modeling language or specific software. The role will be responsible for ensuring that their data is both structured and modeled effectively so that it can be used and understood.

Key Responsibilities:

• Data Modelling: Design and develop conceptual, logical, and physical data models to support the organization's data requirements and business objectives.
• Database Design: Work closely with database administrators and developers to translate business requirements into database structures, ensuring optimal performance and scalability.
• Data Analysis: Collaborate with business stakeholders to understand data needs, analyze data requirements, and identify opportunities for data-driven insights and improvements.
• Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure data quality, consistency, security, and compliance with regulatory requirements.
• Documentation: Document data models, data dictionaries, and metadata definitions to facilitate understanding, usage, and maintenance of the organization's data assets.
• Data Integration: Integrate data models with various data sources, systems, and applications to enable seamless data flow and interoperability across the organization.
• Data Architecture: Contribute to the development and implementation of data architecture strategies, roadmaps, and initiatives to support the organization's long-term data management goals.
• Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and data scientists, to support data-driven decision-making and achieve business objectives.
• Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data modeling, database management, and data analytics to drive innovation and excellence in data management practices.
• Problem Solving: Identify and resolve data-related issues, challenges, and bottlenecks in a timely and effective manner to ensure the reliability, availability, and usability of the organization's data assets.

Requirements:

• About 5+ years relevant experience in a large-scale data environment (e.g. retail, financial services, telecom, banking or similar).
• Technical domain competency.
• Experience using modeling tools.
• Technical requirements: Python and SQL.
• Experience in a Data Management role with understanding of data, risk, data architecture, data governance, data analysis, data validation, and metadata management.
• Experience using related regulatory/governance standards to provide high-quality data, having planned, implemented, integrated, and controlled activities/processes to ensure availability, usability, integrity, compliance, and security of data.
• Sound knowledge and understanding of the data life cycle. Operational execution of data/metric standards and data quality rules.
• Understanding of and experience with root cause analysis and problem-solving skills, and awareness of the Data Product Life Cycle (DPLC) & Agile methodologies.
• Extensive experience with Data Analysis, Data Integrity, Data Modeling, Data Warehouse layers, and Metadata.
• Bachelor’s Degree in Computer Science or similar fields like Information Systems, Big Data, etc., would be advantageous.
• Related Technical certifications.
• Knowledge of Agile methodologies and project management practices, including Scrum, Kanban, and Lean.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and in a team environment in an Agile framework.
• Strong analytical and critical thinking skills.