Job details

Zutari: Co-creating an engineered impact.

Zutari is a well-established, management-owned engineering firm with almost 90 years' experience. As human-centred engineering consultants and advisors, we are trusted by our clients, business partners, communities and other stakeholders across Africa.

We co-create engineering solutions that have a positive impact and improve people's lives. Zutari values inclusion and recognises the importance of a diverse, talented workforce, believing that people need other people to succeed.

What kind of talent do we pursue?

We employ people with the right attitude and a positive mindset, who are motivated by doing the right thing, getting things done and share a sense of urgency. People who have an impact in our teams and broader community. People who think differently and connect with those around them to co-create new opportunities and leave a meaningful legacy.

Role overview

Zutari’s digital advisory team is expanding its data team, developing innovative solutions for clients across infrastructure sectors like energy, transport, water, and buildings. They collaborate with BIM and IoT teams to connect static 3D and asset data with real-time information to create digital twins. 

Role responsibilities

• Collaborate with engineers and data engineers/scientists on several concurrent projects. 
• Extract and organise raw data from different sources e.g. Building Information Modelling (BIM), IOT and ERP systems.  
• Design and implement data architectures and pipelines.  
• Data analysis and BI dashboards  
• Identify and building machine learning/AI proof of concepts  

Minimum requirements

• A “can-do” attitude, passion for using data in engineering domains.  
• Bachelor’s degree (engineering or computer science)  
• At least 4 years’ experience in data engineering/ data science.  
• Fluent in Python, object-oriented design and development, unit testing, Git version control  
• Hands-on experience with SQL databases and data warehousing  
• Good writing and presentation skills 

The following will be considered advantageous:  

1. Master’s or higher qualification  
2. Construction or manufacturing industry experience  
3. Data engineering certification  
4. Software development 
5. Docker (Containerisation) 
6. Experience with building with ML/AI tools.  
7. Cloud and data platform experience Snowflake, Fabric, Data Bricks, Big Query or similar  
8. MQTT   
9. SCADA  

We believe that a diverse workforce is key to our business success. We seek the best people for our jobs based on their skills, qualifications, and experience. We embrace the principle of equal opportunity in employment, and we work towards eliminating all forms of unlawful discrimination in our employment practices. In support of diversity and the equal opportunity principle, preference will be given to individuals from designated groups within South Africa.