Data Development Manager at Nedbank

Job Purpose

• This position is a Data Development Manager role where an applicant will look after a team of Data Engineers. To manage a team of technical resources who develop and support the WH ETL production environment within a BI focused department. The role covers managing and maintaining infrastructure, systems, applications and a real-time data store.
• The Candidate will guide the team on requests solutions design. Candidate will develop, optimize and automate production process for the WH environment.
• The candidate should indicate that they can code/build complex packages.  Experience in the development of complex packages or systems including design elements and troubleshooting

Job Responsibilities

• Manage the implementation of new data processes into production, ensuring stability, quality, and alignment to business requirements.
• Troubleshoot production issues, optimise ETL processes, and continuously improve system performance and code efficiency.
• Participate in standby, production, and month-end support activities to ensure continuity and reliability of the data environment.
• Lead and manage a team of Data Engineers using Agile methodologies, driving delivery through effective sprint planning and execution.
• Facilitate daily stand-ups, proactively identifying and resolving team impediments to maintain delivery momentum.
• Drive strong client and business outcomes by delivering high-quality, reliable data solutions aligned to stakeholder needs.
• Develop and implement effective communication strategies to ensure clear alignment between technical teams and business stakeholders.
• Promote and embed a culture of continuous improvement, enhancing processes, team capability, and overall performance.
• Lead transformation and innovation initiatives to modernise the data warehouse and improve delivery efficiency.
• Manage operational performance and process outcomes across the data development lifecycle, ensuring consistent results.
• Build and maintain strong cross-functional relationships, fostering collaboration and trust.
• Take accountability for managing team performance, development, and overall effectiveness.
• Oversee budget management, ensuring efficient utilisation of resources.
• Proactively manage stakeholder relationships to ensure expectations are met and value is consistently delivered.

Essential Qualifications - NQF Level

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

Preferred Qualification

• Relevant 4 year B.Comm or B.Sc degree, business management post grad qualification

Essential Certifications

• Proficient Certification in relevant technologies

Minimum Experience Level

• Minimum of 6 years’ experience in data development or data engineering, with a strong focus on enterprise data warehouse (WH/DW) environments.
• Strong hands-on experience with SQL Server, including building and optimising complex ETL processes in a production environment.
• Proven ability to design, develop, and troubleshoot data pipelines and ETL solutions, including performance tuning and production support.
• Exposure to additional databases such as DB2, Oracle, or SAS will be advantageous, demonstrating versatility across data platforms.

Advantageous Experience

• Experience or exposure to Python for data processing or automation.
• Basic to intermediate knowledge of Machine Learning concepts and data enablement.

Technical / Professional Knowledge

• Relevant regulatory knowledge
• Service level agreements
• Staff resource planning
• Business writing skills
• Management information and reporting principles, tools and mechanisms
• Client Service Management
• Daily Operations task planning
• Project Management skills

Closing date: 26 June 2026