CareerPlan

Business Intelligence Engineer, Supply Chain Business Insights

Ciudad de México, MéxicoFull-time2026-10-11 → 2026-10-15

Core

Design, build, and maintain scalable data pipelines, reporting solutions, and analytical tools to power decisions across Mexico's Supply Chain network, embedding GenAI and ML capabilities into the analytics portfolio.

Role type

Senior IC Business Intelligence Engineer (Supply Chain Data & AI)

Builds

Scalable ETL/big-data pipelines, high-quality datasets for AI agents, cloud-native data solutions on AWS, and analytical tools for operational dashboards.

Domain

Supply Chain / Logistics / Data Engineering / Generative AI

Deliverable

production ML models | dashboards & analysis

Required skills

Python, SQL, AWS (Redshift, S3, EC2, DynamoDB), ETL/Big Data pipelines, Data Modeling, Data Visualization (Tableau/Quicksight), Statistical Analysis, GenAI/ML integration

Preferred skills

Apache Iceberg, PySpark, Infrastructure-as-Code, Forecasting, Data Governance

Technologies

AWS, Python, SQL, Spark SQL, PySpark, Apache Iceberg, Redshift, DynamoDB, S3, EC2, Tableau, Quicksight

Responsibilities

Design and develop scalable ETL/big-data pipelines using AWS services; Write production-grade Python code for data transformation and AI/ML integration; Build high-quality datasets with robust metadata for AI agents; Deploy and manage cloud-native data solutions via infrastructure-as-code; Collaborate with stakeholders to translate business questions into analytical solutions; Write and optimize complex queries on SQL, Spark SQL, and PySpark.

Seniority

Senior, hands-on IC