Data Engineer: AI Foundations for Scalable Systems

McKinsey; Zürich; Hybride; CHF 110 000 - 180 000; Plein temps

Résumé du poste

McKinsey Zurich is seeking a data engineer to build scalable data pipelines and foundations for next-generation AI systems. You will collaborate with data scientists, ML engineers, and cross-functional teams to enable production-ready data for agentic and generative AI applications.

You will work in a fast-growing data engineering community across QuantumBlack, AI by McKinsey and QuantumBlack Labs, shaping data-driven solutions for diverse clients and industries in a collaborative, mentor-led

Qualifications

• Degree in Computer Science/Engineering or equivalent experience.

Responsabilités

• Build scalable data pipelines and data foundations for AI systems.
• Collaborate with Data Scientists, ML Engineers and clients to deliver data-driven AI solutions.
• Prepare data and maintain secure environments for enterprise AI workloads.
• Translate hypotheses into engineered features and support R&D in AI capabilities.

Connaissances

Python

SQL

Data engineering

Agentic AI

Generative AI

Machine Learning

Business Intelligence

German or French and English (business

Formation

Degree in Computer Science/Engineering

Outils

Databricks

Snowflake

BigQuery

PostgreSQL (PSQL)

AWS

Azure

GCP

Pandas

Spark

dbt

LangChain

Git

MLOps/LLMOps

CI/CD

Description du poste

McKinsey Zurich is seeking a data engineer to build scalable data pipelines and foundations for next-generation AI systems. You will collaborate with data scientists, ML engineers, and cross-functional teams to enable production-ready data for agentic and generative AI applications.

You will work in a fast-growing data engineering community across QuantumBlack, AI by McKinsey and QuantumBlack Labs, shaping data-driven solutions for diverse clients and industries in a collaborative, mentor-led