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 expertiseData Engineering pipeline development and optimizationMLOps (Machine Learning Operations) implementationPython programming proficiency for data solutionsCI / CD pipeline design and automationInfrastructure as Code (IaC) implementationTerraform for cloud infrastructure managementAPIs development, integration, and managementETL / ELT process design and implementationCloud data platform architecture and deploymentAdvantageous 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 processingUnderstanding of data warehousing and Lakehouse conceptsInfrastructure-as-Code and advanced DevOps practicesData security, governance, and compliance frameworksExperience implementing and monitoring data solutionsData validation and quality assurance methodologiesAnalytics and business intelligence toolsPerformance optimization and scalability planningRole Requirements
Design, develop, and maintain scalable data pipelines for structured and unstructured data from multiple sourcesDevelop comprehensive ETL / ELT processes transforming raw data into analyzable formats for reporting and analyticsWork extensively with cloud data platforms for enterprise-scale solutionsEnsure robust data security and regulatory compliance across all data processesIntegrate and consolidate data from SSE platforms, enterprise systems, and external APIsOptimize data pipelines for performance, reliability, and scalability requirementsCollaborate with cross-functional teams ensuring timely and accurate data deliveryPerform comprehensive data validation and quality checks, identifying and resolving anomalies proactivelyAutomate data ingestion, transformation, and integration workflowsSupport analytics, machine learning, and business initiatives with data-driven solutionsContinuously evaluate and recommend improvements in data architecture and cloud integrationsTroubleshoot and resolve data-related issues across environments, minimizing downtimeOwn development, maintenance, and operational support of cloud-based AI platformsTranslate complex business requirements into scalable data-driven solutionsImplement DevOps best practices for data engineering workflowsAdditional responsibilities as per AWM Charter or department manager directionNB :
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.#isanqa #DataEngineer #MachineLearning #MLOps #Python #CloudPlatforms #ITHub #NowHiring #RemoteJobs #DataScience #fuelledbypassionintegrityexcellence
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