Data engineer: fintech multi-tenant etl & analytics
Competent Candidates · Gauteng, South Africa ·
- Work mode
- Hybrid
- Category
- Data engineering
- Experience
- 3+ years
Competent Candidates · Gauteng, South Africa ·
Dariel · South Africa
Placements24 · North West, South Africa
Placements24 · Polokwane, South Africa
Network Finance · South Africa
An AI/ML data engineer joins a fintech client's advanced analytics team in Soweto (hybrid) to build and maintain data pipelines, ETL processes, and warehouse/lake infrastructure that feed machine-learning model training. Core stack includes SQL, Python/Scala, Spark/Hadoop, and cloud data services (AWS, Azure, GCP).
Our client is seeking a skilled AI/ML Data Engineer to join their advanced analytics team in Soweto . This role is fundamental to building and maintaining the data pipelines and infrastructure necessary to support our client's AI and machine learning initiatives. You will be responsible for collecting, cleaning, transforming, and managing large datasets, ensuring they are optimized for model training and analysis. Working within a hybrid model, you will collaborate closely with data scientists and AI researchers to provide the high-quality data foundations needed for developing and deploying sophisticated AI solutions, playing a key part in unlocking data-driven insights.
About the Role
Our client is seeking a skilled AI/ML Data Engineer to join their advanced analytics team in Soweto . This role is fundamental to building and maintaining the data pipelines and infrastructure necessary to support our client's AI and machine learning initiatives. You will be responsible for collecting, cleaning, transforming, and managing large datasets, ensuring they are optimized for model training and analysis. Working within a hybrid model, you will collaborate closely with data scientists and AI researchers to provide the high-quality data foundations needed for developing and deploying sophisticated AI solutions, playing a key part in unlocking data-driven insights. Key Responsibilities Design, build, and maintain scalable data pipelines for AI and machine learning workloads. Develop ETL processes to ingest, clean, transform, and aggregate data from various sources. Ensure data quality, integrity, and accessibility for data scientists and analysts. Implement data warehousing and data lake solutions to support big data analytics. Optimize data infrastructure for performance, scalability, and cost-effectiveness. Collaborate with data scientists to understand data requirements and prepare data for model training and evaluation. Requirements Bachelor\u2019s degree in Computer Science, Engineering, Statistics, or a related quantitative field. 3+ years of experience in data engineering, with a focus on supporting AI/ML projects. Proficiency in SQL and programming languages such as Python or Scala. Experience with big data platforms like Spark, Hadoop, or similar. Familiarity with cloud data services (AWS, Azure, GCP) and data warehousing concepts. Strong understanding of data governance, data quality, and data security principles.
Benefits Competitive salary and comprehensive benefits package. Opportunities for professional growth and training in AI and data technologies. Hybrid work model offering flexibility. Contribute to critical data infrastructure that powers advanced AI capabilities. #J-18808-Ljbffr
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