Specialist Data Engineer

Cape Town - South Africa

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

The Data Engineer is responsible for designing developing and maintaining robust data architectures and pipelines that enable data-driven insights and support business intelligence analytics and machine learning initiatives. This role involves end-to-end ownership of data modelling integration and security to ensure that enterprise data systems are scalable high-performing and compliant with data governance and regulatory standards. The incumbent plays a key role in ensuring the organizations data ecosystem remains efficient secure and aligned with evolving business and technology requirements.

Key Responsibilities:

Design logical and physical data models to meet application and analytical requirements ensuring that models are optimized for performance scalability and alignment with business needs.
Develop and implement efficient data integration workflows using ETL (Extract Transform Load) and ELT (Extract Load Transform) processes to ensure seamless consolidation of data from various internal and external sources.
Build and maintain scalable high-performance data architectures that support both batch and real-time data processing.
Ensure data solutions comply with relevant data privacy governance and security regulations. Implement robust data security measures including encryption role-based access control and activity monitoring.
Optimize data storage and retrieval mechanisms for performance reliability and scalability across cloud and on-premise environments.
Work closely with data scientists analysts and business stakeholders to understand data requirements and translate them into sustainable data solutions.
Stay current with emerging trends technologies and best practices in data engineering applying innovative solutions to enhance data systems and workflows.

Requirements

NQF Level 6 or higher tertiary qualification in an Information and Communication Technology (ICT) field (e.g. Computer Science Information Systems Data Engineering or related discipline).
Cloud certification (AWS Azure or GCP) preferred.
Minimum of 6 years experience in a Data Engineer or related technical data role.
Proven experience in data modeling ETL/ELT development and data integration.
Experience implementing data security compliance and governance frameworks.
Hands-on experience with cloud-based data platforms (e.g. AWS Redshift Azure Synapse Google BigQuery).

Required Skills:

SQL Cloud Python Data Integration Data Modelling Data Security ETL

Key Responsibilities:

Design logical and physical data models to meet application and analytical requirements ensuring that models are optimized for performance scalability and alignment with business needs.
Develop and implement efficient data integration workflows using ETL (Extract Transform Load) and ELT (Extract Load Transform) processes to ensure seamless consolidation of data from various internal and external sources.
Build and maintain scalable high-performance data architectures that support both batch and real-time data processing.
Ensure data solutions comply with relevant data privacy governance and security regulations. Implement robust data security measures including encryption role-based access control and activity monitoring.
Optimize data storage and retrieval mechanisms for performance reliability and scalability across cloud and on-premise environments.
Work closely with data scientists analysts and business stakeholders to understand data requirements and translate them into sustainable data solutions.
Stay current with emerging trends technologies and best practices in data engineering applying innovative solutions to enhance data systems and workflows.

Requirements

NQF Level 6 or higher tertiary qualification in an Information and Communication Technology (ICT) field (e.g. Computer Science Information Systems Data Engineering or related discipline).
Cloud certification (AWS Azure or GCP) preferred.
Minimum of 6 years experience in a Data Engineer or related technical data role.
Proven experience in data modeling ETL/ELT development and data integration.
Experience implementing data security compliance and governance frameworks.
Hands-on experience with cloud-based data platforms (e.g. AWS Redshift Azure Synapse Google BigQuery).

Required Skills:

SQL Cloud Python Data Integration Data Modelling Data Security ETL