Data Engineer

Data Engineer

Nedbank

To design, develop, support, and optimise data solutions that enable trusted, accessible, and high-quality information across the business. The role is responsible for managing data integration processes, maintaining data warehouse environments, ensuring data governance compliance, and supporting business intelligence and analytics initiatives through the delivery of reliable and scalable data assets.

Job Responsibilities

• 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.

Essential Qualifications - NQF Level

• Professional Qualifications/Honour’s Degree
• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Degree in any of the following:
• Mathematical/Statistics
• Information Technology
• Computer Science
• Data Science
• Engineering
• Or similar

Preferred Certifications

• DAMA Certification
• Microsoft Azure Data Engineer Associate
• Data Warehousing or Database Certification
• Relevant Cloud, Data Engineering, or ETL Certification

Minimum

Experience

• Level

• 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.

• Experience within a banking, financial services, or other regulated environment will be advantageous

• Technical / Professional Knowledge

• 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

• Disclaimer

• Preference will be given to candidates from the underrepresented groups