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Location: 

Johannesburg, ZA

Date:  19 Jun 2026

Title:  Data Development Manager

146400

Requisition Details & Talent Acquisition Contact

Requisition nr: 146400
Location: 135 Rivonia Road, Sandown
Closing date: 26 June 2026

Cluster

Personal and Private Banking 

Career Stream

It Application Development

Leadership Pipeline

Manage Others

Position

Data Development Manager

Why join the team!

Join a high-impact team where your expertise will sit at the heart of a sophisticated, enterprise-scale data environment—where strong Advanced SQL and Ab Initio capability is critical to success in the role. In this position, you’ll lead a team of skilled Data Engineers while driving the design, optimisation and delivery of complex ETL solutions within a fast-paced BI ecosystem. You’ll have the opportunity to shape architecture, enhance real-time data pipelines, and modernise the data warehouse landscape through automation and innovation. If you enjoy solving deep technical challenges, influencing strategic decisions, and leading within an Agile environment, this role offers the perfect platform to elevate both your technical and leadership career.

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

Disclaimer

Preference will be given to candidates from the underrepresented groups

Please contact the Nedbank Recruiting Team at +27 860 555 566

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Please contact the Nedbank Recruiting Team at +27 860 555 566 

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Company:  Nedbank

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