Data Engineer: Banking Data Solutions (Johannesburg)
Nedbank · Sandown, Johannesburg, Gauteng
Overview
Nedbank is looking for a Data Engineer to build and maintain reliable data solutions for Personal and Private Banking. You'll work with modern cloud platforms, ETL tools, and large datasets to help drive smarter decisions and better customer experiences. This is a great opportunity for a mid to senior level engineer who enjoys solving complex data challenges in a regulated banking environment.
About the role
Nedbank's Personal and Private Banking cluster is seeking a Data Engineer to join a high performing team that delivers reliable, scalable, and business-critical data solutions. You will work across complex data ecosystems, supporting the design, development, enhancement, and optimisation of enterprise data platforms and data warehouse environments.
Day to day, you can expect to:
- Build 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 platforms.
- Maintain metadata, data lineage, and data governance standards.
- Monitor, troubleshoot, and resolve data related incidents.
- Translate business requirements into scalable data solutions.
- Participate in Agile delivery activities including planning, development, testing, and deployment.
Application note: You will be redirected to Nedbank's official careers site to complete your application. Preference will be given to candidates from underrepresented groups.
Requirements
- Honours degree or advanced diploma at NQF Level 7 in Information Technology, Computer Science, Data Science, Engineering, Mathematical Sciences, Statistics, or a similar field.
- Minimum of 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.
- 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.
- Technical knowledge of Cloud Data Engineering (Azure, AWS, Google Cloud), databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB), programming (SQL, Python), Azure Data Factory, Ab Initio, SSIS, SAS ETL, and CI/CD practices.
- Preferred certifications: DAMA Certification, Microsoft Azure Data Engineer Associate, Data Warehousing or Database Certification, or relevant Cloud, Data Engineering, or ETL Certification.
Responsibilities
- 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.
- Remain current with industry trends, emerging technologies, and leading data engineering practices.
Job details
- Organisation
- Nedbank
- Location
- Sandown, Johannesburg, Gauteng
- Job type
- Full time
- Experience level
- Senior (5+ years)
- Education
- Honours
- Category
- IT & Software Development
- Posted
- 31 October 2026 (1 week ago)
- Application Method
- Apply online
Success Guide
This is a solid opportunity if you have a few years of data engineering experience under your belt and want to work in a large banking environment. Nedbank values hands on skills, so make sure your CV clearly shows the tools you have used, especially SQL, Python, and any cloud platforms like Azure or AWS. Tailor your application to highlight projects where you built or improved data pipelines, worked with large datasets, or dealt with data quality and governance.
Before you apply, update your CV to include your qualifications and certifications. The application will take you to Nedbank's own careers portal, so set aside some time to create a profile and upload your documents. It also helps to read up on Nedbank's values and their focus on transformation, as this may come up in an interview.
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