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 data capture
• Bui...