Company overview:
Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.
Note: Please submit your resume in English, as all application materials must be in English for review and consideration.
Position overview
Blue Orange Digital is seeking a Senior Data Engineer with genuine agentic systems depth for a full-time, 6-month embedded engagement in a private-capital data environment. This is a deliberately merged role: roughly half senior data engineering — Snowflake, dbt, Airflow, AWS, Python ingestion — and half senior LLM/agentic engineering,



spanning production agents, MCP servers, evaluation practice, and observability. You will work on two core initiatives: an AI-Ready Data Catalog & Context Layer built alongside the Data Analytics team, and Unstructured Data Extraction at scale, with agentic implementation, evaluation, and orchestration as the throughline across both. This is not a pipeline-maintenance seat; we are looking for someone who has already shipped agents into production and can tell us candidly what broke.
Responsibilities
Agentic development (primary focus)
Build production agents and multi-step agentic workflows, and design and implement MCP (Model Context Protocol) servers and tool interfaces as the primary integration surface between agents and the data platform — including custom internal MCP servers over proprietary datasets. Make deliberate architectural calls on agent vs. deterministic pipeline, single-agent vs. multi-agent decomposition

📌 Senior Data (Santiago)
🏢 Blue Orange Digital
📍 Santiago