Data Engineer
Nedbank
Data Engineer Data Engineer Johannesburg 15 Sept 2026 0.00 km
Salary not specified - Full-time
Job Description
About the Role
Personal and Private Banking
Responsibilities
- Data Engineer
- Contribute to the achievement of transformation and culture objectives.
- Participate in corporate social responsibility and business initiatives.
- Identify opportunities to improve processes, systems, and operational efficiencies.
- Deliver work in line with stakeholder requirements through effective planning and prioritisation.
- Adhere to governance, risk, compliance, and security standards.
- Build, maintain, and optimise data pipelines, ETL processes, and data integration solutions.
- Support and enhance enterprise data warehouse environments.
- Ensure data quality, integrity, accuracy, and availability across data platforms.
- Maintain metadata, data lineage, and data governance standards.
- Monitor, troubleshoot, and resolve data-related incidents.
- Translate business requirements into scalable and sustainable data solutions.
- Support business stakeholders with trusted and accessible data to enable decision-making.
- Identify and implement automation and innovation opportunities.
- Participate in Agile delivery activities including planning, development, testing, deployment, and support.
- Build and maintain effective relationships with stakeholders, technology partners, and vendors.
- Contribute to knowledge-sharing and continuous improvement initiatives.
- Remain current with industry trends, emerging technologies, and leading data engineering practices.
- Drive personal growth through continuous learning and skills development.
Requirements
- Professional Qualifications/Honour’s Degree
- Advanced Diplomas/National 1st Degrees
- 5+ years' experience within Data Engineering, Data Warehousing, Data Management, Business Intelligence, or related data-focused environments.
- Proven experience designing, developing and supporting enterprise-scale data solutions.
- Strong hands-on experience with SQL development, query optimisation, data modelling, and ETL/ELT processes.
- Experience translating business requirements into scalable data solutions and actionable insights.
- Experience working with large and complex datasets across multiple source systems.
- Experience implementing and maintaining data governance, metadata, lineage, and quality standards.
- Exposure to cloud-based data platforms and modern data engineering frameworks.
- Experience working within Agile delivery environments and collaborating with cross-functional teams.
- Cloud Data Engineering (Azure, AWS, Google Cloud)
- Data Warehousing
- Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB)
- Programming (SQL, Python)
- Data Analysis and Data Modelling
- Data Pipelines and ETL Tools
- Data Governance and Metadata Management
- Data Quality Management
- Agile Delivery Methodologies
- Problem Solving and Root Cause Analysis
- Azure Data Factory (ADF)
- Ab Initio
- SSIS
- SAS ETL
- CI/CD and DevOps Practices
Preferred Qualifications
- Degree in any of the following:
- Mathematical/Statistics
- Information Technology
- Computer Science
- Data Science
- Engineering
- Or similiar
- DAMA Certification
- Microsoft Azure Data Engineer Associate
- Data Warehousing or Database Certification
- Relevant Cloud, Data Engineering, or ETL Certification
- Experience within a banking, financial services, or other regulated environment will be advantageous
