AI Data Engineer (Agentic AI & Large-Scale Data)
We are seeking a highly capable Data Engineer with strong experience in scalable data platforms, large-scale scraping, LLM integrations, and agentic AI systems. This role is ideal for a hands-on builder who enjoys solving complex data challenges and developing intelligent automation solutions that operate reliably in production environments.
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.
- 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 and 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 R550 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.
Are you ready for a change of scenery? E-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the E-Merge IT website
www.e-merge.co.za for more great positions.
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Posted on 25 May 09:52, Closing date 24 Jul