AI Data Engineer
Job Description
We are a multidisciplinary group of data technologists, designers, developers and management consultants building proprietary big data platforms that support thousands of clients and engagements. Our platform processes billions of records across hundreds of solutions throughout Australia and Asia Pacific, and we are continuously evolving it to deliver AI-enabled, enterprise-grade capabilities at scale.
Enough About Us, Let’s Talk About You.
You may have all or some of the following skills / experiences:
- 2–5 years of experience building production-grade workflow, data or AI automation systems in multi-client environments
- Strong Python software engineering skills (modular design, testing, packaging, async workflows)
- Experience designing scalable data pipelines using Python (Pandas or Polars) and SQL
- Experience working with messy, high-variance datasets
- Experience implementing automated data quality checks, reconciliation logic and validation frameworks
- Understanding of structured outputs, JSON schema enforcement and Pydantic validation
- Experience integrating LLM-based systems (RAG, tool calling, structured output pipelines)
- Experience handling unstructured document data (PDF parsing, OCR, embeddings, classification)
- Exposure to CI/CD tooling such as Azure DevOps, GitHub or Jenkins
- A self-starter mindset, comfortable working autonomously in a fast-paced and dynamic environment
- Exposure to accounting or regulatory data structures, AI-assisted development tools, Tableau/PowerBI or Databricks is advantageous but not essential.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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