Data Lead

JVR Software; Johannesburg; On-site; ZAR 1,200,000 - 2,400,000; Full time

Job summary

Network Finance in Gauteng is seeking a senior data leader to steer design, development, and optimisation of data platforms and pipelines. You will translate business needs into scalable data solutions and mentor engineers and analysts. You will drive governance, architecture improvements, and regulatory compliance across the data stack.

You will collaborate with cross-functional teams, champion data quality, and foster a culture of innovation and ownership within the data team.

Qualifications

• Relevant degree in data-related field.
• 10+ years in data-related roles.
• 5+ years in leadership within data management/engineering/architecture.
• Proven experience designing modern data platforms and architectures.
• Experience with data governance, compliance, and data quality.
• Exposure to data product environments and AI awareness.

Responsibilities

• Lead the design, development, and optimisation of data platforms, pipelines, and data models.
• Translate business requirements into scalable and efficient data solutions.
• Provide technical leadership and mentorship to data engineers and analysts.
• Drive improvements in data architecture, integration frameworks, and platform performance.
• Establish and maintain data quality, monitoring, and governance frameworks.
• Ensure compliance with data privacy and regulatory requirements.
• Collaborate with business, product, and engineering teams to deliver impactful data solutions.
• Foster a culture of innovation, ownership, and continuous improvement within the data team.

Skills

Leadership

SQL mastery

Data governance

Data architecture

ETL/ELT

Stakeholder mgmt

Cloud/on-prem

Education

Relevant degree in Data Science, Computer Science, Engineering, Business, or a related field

Job description

Employer Network Finance Location Gauteng Job type Datacapturing Salary Not specified Posted 5 Nov 2026

Key Responsibilities

• Lead the design, development, and optimisation of data platforms, pipelines, and data models.


• Translate business requirements into scalable and efficient data solutions.


• Provide technical leadership and mentorship to data engineers and analysts.


• Drive improvements in data architecture, integration frameworks, and platform performance.


• Establish and maintain data quality, monitoring, and governance frameworks.


• Ensure compliance with data privacy and regulatory requirements.


• Collaborate with business, product, and engineering teams to deliver impactful data solutions.


• Foster a culture of innovation, ownership, and continuous improvement within the data team.

Job Experience and Skills Required

• Relevant degree in Data Science, Computer Science, Engineering, Business, or a related field.


• 10+ years of experience in data-related roles.


• 5+ years of leadership experience within data management, data engineering, or data architecture environments.


• Proven experience designing and implementing modern data platforms and architectures.


• Experience with data governance, compliance, and data quality frameworks.


• Exposure to commercial or data product environments.


• Strong stakeholder engagement and advisory experience across technical and business teams.


• Strong knowledge of data architecture, data engineering, and integration patterns.


• Experience with ETL, ELT processes, APIs, and data platform design.


• Advanced SQL skills and experience with data pipeline development and optimisation.


• Understanding of cloud and on-premise data environments.


• Strong knowledge of data governance, data quality, and regulatory compliance.


• Ability to transform data into commercially valuable products and insights.


• Awareness of emerging trends in AI, machine learning, and advanced analytics.


• Experience within automotive, financial services, or consumer data environments.


• Exposure to AI and machine learning initiatives.


• Experience working with large-scale data products and customer-facing solutions.


• Software Developers (Back-End, Front-End, Full Stack)


• Business & Systems Analysts


• BI & SQL Experts


• UI/UX Professionals


• Data Scientists & Data Analysts


• Infrastructure Specialists


• Cybersecurity Specialists


• SEO / Digital Designers

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