Location Data Lead | Infrastructure Data & AI

Zutari; Pretoria; Presencial; ZAR 1 000 000 - 1 400 000; Tempo integral

Resumo da oferta

Zutari, a multinational infrastructure firm, invites applications for a location lead in Tshwane. You will head a data team, connecting BIM, IoT, ERP data into scalable pipelines and architectures to support engineering projects across energy, transport, water and buildings.

We seek an 8+ year data veteran with Python, SQL, and data warehousing expertise, capable of leading teams and communicating complex results to stakeholders.

Qualificações

• Leadership experience leading data professionals.
• Can-do attitude and passion for applying data in engineering.
• Bachelor's degree in Engineering, Computer Science, or related field.
• 8+ years in data engineering and/or data science.
• 2+ years leading a team.
• Fluent in Python and GIT version control.
• Hands-on experience with SQL databases, data warehousing, and data pipelines.
• Ability to communicate complex findings to non-technical stakeholders.

Responsabilidades

• Lead and build a data team in Tshwane with support from the Zutari Data Lead.
• Collaborate across cross-functional teams to deliver multiple data/analytics projects.
• Ingest and consolidate raw data from BIM, IoT sensors, and ERP systems.
• Design, build, and maintain scalable data architectures and end-to-end pipelines.
• Perform data analysis and develop BI tools to surface actionable insights.
• Prototype and validate ML/AI concepts to address business challenges.

Conhecimentos

Leadership experience

Python

GIT version control

SQL databases

Data pipelines

Communication skills

Formação académica

Bachelor's degree in Engineering, Computer Science, or related field

Ferramentas

Docker

BIM data formats (IFC)

BIM platforms

Descrição da oferta de emprego

Zutari, a multinational infrastructure firm, invites applications for a location lead in Tshwane. You will head a data team, connecting BIM, IoT, ERP data into scalable pipelines and architectures to support engineering projects across energy, transport, water and buildings.

We seek an 8+ year data veteran with Python, SQL, and data warehousing expertise, capable of leading teams and communicating complex results to stakeholders.