Lead Data Engineer

The Shoprite Group of Companies; Wes-Kaap; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

The Shoprite Group of Companies is seeking a Lead Analytics Engineer to design and build scalable, trusted data products that enable analytics, reporting, ML, and business decisions. You will translate complex requirements into governed data models, feature marts, and pipelines while leading a data team.

You will mentor engineers, establish engineering standards, improve data quality, and drive modern analytics engineering practices across the organisation.

Qualifications

• Experience in designing scalable data products and governed data models.
• Ability to translate complex requirements into data pipelines and feature marts.
• Proven leadership skills with mentoring and standards-driven approach.

Responsibilities

• Lead analytics engineering efforts across the organisation.
• Mentor team members and establish engineering standards.
• Collaborate with data engineers, data scientists, analysts and stakeholders to deliver reliable data solutions.

Skills

Data modeling

Data pipelines

Feature marts

Leadership

Mentoring

Cross-functional collaboration

Job description

As a Lead Analytics Engineer, you will be responsible for designing, building, and continuously improving trusted, scalable data products that enable analytics, reporting, machine learning, and business decision-making across the organisation.

Acting as a technical leader within the data team, you will translate complex business requirements into well-governed data models, feature marts, and data pipelines while driving best practices in analytics engineering. You will collaborate closely with Data Engineers, Data Scientists, Analysts, Product Teams, and business stakeholders to ensure the delivery of reliable, production-ready data solutions that create measurable business value.

This role combines deep technical expertise with leadership responsibilities, including mentoring team members, establishing engineering standards, improving data quality, and driving the adoption of modern analytics engineering practices.