Claude Code AI Data Engineer (Agentic AI & Large-Scale Data) - Remote - R650 per hour

You will play a key role in designing and building modern data pipelines, AI-powered workflows, and autonomous systems that can interact with tools, APIs, databases, and enterprise data sources.

Responsibilities:

• Design and build scalable batch and near-real-time data pipelines.
• Experience specifically with Claude Code.
• Ingest and process data from APIs, databases, files, event streams, and web sources.
• Develop and maintain large-scale scraping and data acquisition systems.
• Clean, validate, transform, and model data for analytics and AI applications.
• Build LLM-powered workflows and agentic AI solutions using:
  • Tool calling
  • Structured outputs
  • Retrieval-Augmented Generation (RAG)
  • API and database integrations
• Support modern data lake, warehouse, and lakehouse architectures.
• Implement monitoring, observability, schema validation, and data quality controls.
• Collaborate with engineering teams to deliver secure, scalable, and maintainable production systems.

Qualifications & Experience

• Strong experience with Python and/or Node.js/TypeScript.
• Advanced SQL and relational database skills.
• Proven experience building production-grade data pipelines.
• Experience with AWS or similar cloud platforms.
• Hands-on experience with data lakes, warehouses, or lakehouse technologies.
• Practical experience using LLM platforms such as OpenAI, Anthropic, Gemini, Bedrock, or similar.
• Experience building agentic workflows involving:
  • Tool use
  • Task decomposition
  • Retrieval systems
  • Memory
  • Human-in-the-loop workflows
• Experience with scraping frameworks such as Playwright, Puppeteer, Scrapy, or Selenium.
• Strong understanding of APIs, containers, CI/CD, testing, and secure engineering practices.

The Reference Number for this position is NG61354 which is a Contract Remote role offering a salary of up to R650 per hour salary negotiable based on experience. E-mail Nokuthula on [email protected] or call her for a chat on 011 463 3633 to discuss this and other opportunities.

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