Job Description

Ready to transform raw data into intelligent insights that power next-generation automotive security solutions?
Step into the future of data engineering and join a team where your expertise in machine learning, cloud platforms, and AI will shape the Zero Trust Initiative for global automotive operations!
? Cutting-edge AI and ML platform development
? Hybrid and remote working flexibility
? Dynamic, data-driven global team environment
POSITION: Contract: 01 January 2026 - 31 December 2028
EXPERIENCE: 6-8 Years related experience
COMMENCEMENT: 01 January 2026
LOCATION: Hybrid: Midrand/Menlyn/Rosslyn/Home Office rotation
Qualifications / Experience

• Qualification in Computer Science, Information Technology, Data/Software Engineering, Data Science or equivalent
• Cloud Computing or Analytics certification advantageous
• Senior-level experience in data engineering and machine learning
• Focus on Zero Trust Initiative and security analytics
• Experience with cloud-based AI platform development and operations
• Strong background in DevOps and MLOps practices

Essential Skills Requirements

• Data Science and Machine Learning expertise
• Data Engineering pipeline development and optimization
• MLOps (Machine Learning Operations) implementation
• Python programming proficiency for data solutions
• CI/CD pipeline design and automation
• Infrastructure as Code (IaC) implementation
• Terraform for cloud infrastructure management
• APIs development, integration, and management
• ETL/ELT process design and implementation
• Cloud data platform architecture and deployment

Advantageous Skills Requirements

• Knowledge of cloud data platforms (AWS, Azure, GCP)
• Experience with big data frameworks (Spark, Hadoop, Kafka)
• Competency in streaming technologies and real-time processing
• Understanding of data warehousing and Lakehouse concepts
• Infrastructure-as-Code and advanced DevOps practices
• Data security, governance, and compliance frameworks
• Experience implementing and monitoring data solutions
• Data validation and quality assurance methodologies
• Analytics and business intelligence tools
• Performance optimization and scalability planning

Role Requirements

• Design, develop, and maintain scalable data pipelines for structured and unstructured data from multiple sources
• Develop comprehensive ETL/ELT processes transforming raw data into analyzable formats for reporting and analytics
• Work extensively with cloud data platforms for enterprise-scale solutions
• Ensure robust data security and regulatory compliance across all data processes
• Integrate and consolidate data from SSE platforms, enterprise systems, and external APIs
• Optimize data pipelines for performance, reliability, and scalability requirements
• Collaborate with cross-functional teams ensuring timely and accurate data delivery
• Perform comprehensive data validation and quality checks, identifying and resolving anomalies proactively
• Automate data ingestion, transformation, and integration workflows
• Support analytics, machine learning, and business initiatives with data-driven solutions
• Continuously evaluate and recommend improvements in data architecture and cloud integrations
• Troubleshoot and resolve data-related issues across environments, minimizing downtime
• Own development, maintenance, and operational support of cloud-based AI platforms
• Translate complex business requirements into scalable data-driven solutions
• Implement DevOps best practices for data engineering workflows
• Additional responsibilities as per AWM Charter or department manager direction

NB:

• South African citizens/residents preferred. Valid work permit holders will be considered.
• By applying, you consent to be added to the iSanqa database and to receive updates until you unsubscribe.
• If you do not receive a response within 2 weeks, please consider your application unsuccessful.

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Skills Required