Data Engineer

Job Description

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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