Data Engineer – AI Infrastructure & Pipelines

McKinsey; Bogotá ciudad; In loco; COP 60.000.000 - 120.000.000; Tempo pieno

Descrizione del lavoro

McKinsey is seeking a data engineer to build foundational data infrastructure powering AI applications, including LLMs, retrieval systems, and agentic architectures. You will design scalable pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

You will work with QuantumBlack, AI by McKinsey, and QuantumBlack Labs teams to advance enterprise AI capabilities, contributing to robust data foundations for

Competenze

• Degree in Computer Science/Engineering or equivalent experience.
• 2+ years in a data-focused role (internships, academic projects).
• Ability to write clean, well-documented Python and SQL code.
• Exposure to data engineering in Agentic/Generative AI or BI contexts.
• Familiarity with data platforms and cloud services (Databricks, Snowflake, BigQuery, AWS/Azure/GCP).
• Experience with Git and basic DevOps/MLOps concepts.
• Strong time management in autonomous environments and willingness to learn.

Mansioni

• Design and build scalable data pipelines for AI-powered applications.
• Maintain secure data environments and data quality foundations.
• Collaborate with Data Scientists, ML Engineers, and clients in cross-functional teams.
• Translate hypotheses into engineered features and contribute to R&D in AI capabilities.
• Support production-ready AI systems and scalable data components.

Conoscenze

Python

SQL

Data engineering

Databricks

Cloud platforms

Git

MLOps

Bilingual English/Spanish

Formazione

Bachelors in Computer Science or Engineering

Strumenti

Databricks

Snowflake

BigQuery

dbt

LangChain

Pandas

Spark

Descrizione del lavoro

McKinsey is seeking a data engineer to build foundational data infrastructure powering AI applications, including LLMs, retrieval systems, and agentic architectures. You will design scalable pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

You will work with QuantumBlack, AI by McKinsey, and QuantumBlack Labs teams to advance enterprise AI capabilities, contributing to robust data foundations for