AI Data Engineer

Summary

Design and own data platforms and AI-enabled pipelines that turn raw, messy, real-world data into trustworthy products. You work end to end — from the instruments that capture data, through declarative pipelines and quality gates, to the RAG and agentic-AI workloads that sit on top — holding the line on data quality and governance so that everything built on this data can be trusted.

This is a hands‑on architect role: you make high-level decisions, define reference patterns, and still write code.

Our operating belief — AI moves the data. Quality earns the trust. The hardest part of AI at enterprise scale is not the model — it is the data discipline underneath it.

Responsibilities

• Architect scalable, secure, and observable data platforms across Lakehouse (Bronze to Silver to Gold) and serving layers aligned to business goals
• Design and integrate data collection instruments and enforce validation at the point of da...