Location Data Lead - (AD-L8.5)
Zutari · Pretoria, Gauteng
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- Zutari's Digital Practice team is expanding its data practice and requires a location lead in Tshwane. The team delivers innovative solutions across the business for internal and external clients across various industries e.g. energy, transport, water, and buildings.
- Working at the intersection of engineering and technology, the team partners with multi-disciplinary engineering teams, BIM and IoT specialists to connect static 3D and asset data with real-time information to help clients solve interesting and complex problems.
Role responsibilities
- Lead and build a data team in Tshwane with assistance from the Zutari Data Lead.
- Collaborate across cross-functional teams to deliver multiple concurrent data and analytics projects.
- Ingest and consolidate raw data from diverse sources, including Building Information Modelling BIM, IoT sensors, and ERP systems.
- Design, build, and maintain scalable data architectures and end-to-end data pipelines.
- Perform data analysis and develop BI analytical tools to surface actionable insights for stakeholders.
- Research, prototype, and validate machine learning and AI proof-of-concepts to address business challenges.
Minimum requirements
- Leadership experience leading data professionals
- A "can-do" attitude and genuine passion for applying data in engineering and infrastructure domains
- Bachelor's degree in Engineering, Computer Science, or a related field
- At least 8 years' experience in data engineering and/or data science
- At least 2 years leading a team
- Fluent in Python and GIT version control
- Hands-on experience with SQL databases, data warehousing, and data pipeline design
- Ability to communicate complex technical findings clearly to non-technical engineering stakeholders - both in writing and in presentations
- Comfortable leading technical decisions on a workstream and collaborating across multidisciplinary teams BIM, IoT, engineering, business functions
Advantageous
- Master's or higher qualification
- Experience in infrastructure sectors energy, water, transport, or buildings
- Understanding of asset lifecycle data and digital twin concepts, including semantic data modelling or ontologies
- Software development experience
- Experience with Docker for containerisation and deployment of data applications
- Experience with BIM data formats IFC or integration with BIM platforms
- Data engineering certification
- Software development and software engineering best practices
- Leveraging Claude Code or similar to increase output
- Proven experience building and deploying ML/AI solutions beyond proof-of-concept
- Cloud and data platform experience: Snowflake, Microsoft Fabric, Databricks, BigQuery, or similar
- MQTT / SCADA / industrial IoT protocols e.g. Sparkplug B, OPC-UA, Modbus
- Streaming and real-time pipeline experience Kafka, Spark Streaming, or similar
- Experience working with time-series data and/or IoT data streams e.g. InfluxDB, TimescaleDB, or similar
- Familiarity with geospatial data and tools e.g. GeoPandas, PostGIS, or similar