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AI â?? Factory - Data Engineer
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General Details
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Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
The ideal candidate should have a strong background in SQL and Python, experience with ETL/ELT frameworks, proficiency in Cloud data platforms (such as AWS or Azure), a good understanding of data governance, and exposure to AI data pipelines would be a plus. If you have over 6 years of experience in Information Technology, with a degree qualification, and excel in data processing, we would like to hear from you.
A locally hosted, enterprise-grade AI platform and ecosystem designed to accelerate how South African businesses adopt and scale artificial intelligence. It combines high-performance infrastructure, curated models, and services to help organisations build, integrate, and deploy AI solutions quickly and securely.The platform is powered by NVIDIA AI technology and hosted in local AI-ready data centres, ensuring compliance with South African regulatory and data sovereignty requirements, a key differentiator for enterprises navigating global AI adoption.
https://www.executiveplacements.com/Jobs/A/AI--Factory-Data-Engineer-1272415-Job-Search-03-17-2026-04-05-32-AM.asp?sid=gumtree
Id Subtitle 1352426853
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Executive Placements
Selling for 1 year
Total Ads5.22K
Active Ads5.22K
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Education:Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science or related fieldMasters Degree in a Data Science, AI/ML, Statistical or related field (preferred)MBA or Masters (advantageous)Experience:5 or more years of relevant work experience as a Data Engineer/ Data Scientist46+ years applied data science; 2+ years owning production AI/ML.At least 3 years experience within a non-traditional FinTech, Banking or Financial Services SectorExperience in Data Science and Data Analysis with a specific focus on AI/ ML models within banking, finance and/or telecommunications industryProven delivery of automated decisioning (recommendation/propensity/fraud/forecasting) with quantified business impact.Experience in Data Engineering within banking or financial services industryUnderstanding of enterprise-scale systems and technologies used in data infrastructuresExperience of working in an Agile/DevOps environmentGitHub or GitLab experience for CI/CDConsistent improvement CI/CD applications for collaborations and enhancement to drive develop once and deploy to many mindset through container repositoriesProficiency in working with Python and its relevant libraries SAS or R / Scala for data clean up and advanced data analyticsWorking knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE)Demonstrated experience utilizing software tools to query and report data and being software agnosticHighly proficient in database management systems like Postgres, Oracle, Mongo, MSSQLExperience in data analysis and management, business performance management and/or reporting within the financial sector or banking industryExperience working in a medium to large organizationExperience in ecommerce and electronic payment business is advantageousExperience working across global locations/ regions and have a grasp of political, social, infrastructure and integrity challenges
https://www.jobplacements.com/Jobs/M/Manager-Data-Science-1271726-Job-Search-03-13-2026-10-31-29-AM.asp?sid=gumtree
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