Data Engineer

Nedbank Group; Johannesburg; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Nedbank is seeking a Data Engineer to join the Personal and Private Banking data team. You will design, develop, and optimise data solutions, ensuring trusted, high-quality information across the enterprise and analytics initiatives.

You will build robust data pipelines, enhance data governance, and collaborate with stakeholders to translate business requirements into scalable data assets. The role offers exposure to cloud platforms, SQL, Python, and modern data engineering practices within a

Qualifications

• Minimum 5+ years in Data Engineering or related environments.
• Experience designing, developing and supporting enterprise-scale data solutions.
• Strong SQL development, data modelling, and ETL/ELT experience.
• Ability to translate business requirements into scalable data solutions.

Responsibilities

• Contribute to transformation and culture objectives.
• Identify opportunities to improve processes and efficiencies.
• Deliver work aligned to stakeholder requirements with effective planning.
• Adhere to governance, risk, compliance and security standards.
• Build and optimise data pipelines and ETL processes.
• Support and enhance enterprise data warehouse environments.
• Ensure data quality and governance across data platforms.
• Maintain metadata, data lineage and governance standards.
• Monitor and resolve data-related incidents.
• Collaborate with stakeholders to enable trusted data for decision-making.

Skills

SQL development

Python

Data modelling

Data pipelines

Agile delivery

Problem solving

Education

Honour’s Degree

Advanced Diplomas/National 1st Degrees

Tools

Ab Initio

SSIS

SAS ETL

CI/CD & DevOps

Job description

Personal and Private Banking

It Application Development

Manage Self: Technical

Why join the team!

We are seeking a talented Data Engineer to join a high-performing team responsible for delivering reliable, scalable, and business-critical data solutions within Personal and Private Banking. This role offers the opportunity to work within a data-driven environment where data plays a key role in enabling strategic decision-making, enhancing customer experiences, and driving business performance.

You will work across complex data ecosystems, supporting the design, development, enhancement, and optimisation of enterprise data platforms and data warehouse solutions. Collaborating with business stakeholders, analysts, architects, and technology teams, you will help deliver trusted, high-quality data that supports both operational and strategic objectives.

The successful candidate will contribute to building and maintaining robust data pipelines, improving data quality and governance standards, and driving continuous improvement across the data landscape. If you are passionate about solving complex data challenges and delivering meaningful business impact, this role offers an exciting opportunity to grow your expertise within a dynamic banking environment.

Job Purpose

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

Preferred Certifications

• DAMA Certification
• Data Warehousing or Database Certification
• Relevant Cloud, Data Engineering, or ETL Certification

Minimum Experience Level

• 5+ years' experiencewithin 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

• Data Warehousing
• 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
• Ab Initio
• SSIS
• SAS ETL
• CI/CD and DevOps Practices

Disclaimer

Preference will be given to candidates from the underrepresented groups

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Nedbank Ltd Reg No 1951/000009/06.
Authorised financial services and registered credit provider (NCRCP16).