AI Data Engineer: Scalable Pipelines for Agentic AI

McKinsey & Company, Inc.; Deutschland; Remote; USD 69,637 - 92,850; Full time

Benefits offered by this job

Competitive salary

World-class benefits

Mentorship and apprenticeship culture

Job summary

McKinsey & Company, Inc. is looking for a Data Engineer to build foundational data infrastructure for cutting-edge AI applications in Germany. You'll work on designing scalable data pipelines and collaborating with cross-functional teams while tackling real-world challenges.

Candidates should have 2+ years of relevant experience, a strong foundation in Python and SQL, and experience with data engineering tools such as Databricks and Snowflake. Exceptional communication skills in German and English are required as well.

Qualifications

• 2+ years of experience in building and deploying data solutions.
• Strong proficiency in writing robust, production-grade code.
• Hands-on experience with CI/CD for data workflows.

Responsibilities

• Build data infrastructure for AI applications.
• Design scalable data pipelines and prepare data for AI systems.
• Collaborate with cross-functional teams to tackle real-world challenges.

Skills

Python

SQL

Data Engineering

MLOps

Agentic AI

Machine Learning

Data Pipeline

System Design

Cloud Platforms (AWS, Azure, GCP)

Education

Degree in Computer Science/Engineering

Tools

Databricks

Snowflake

BigQuery

Pandas

Spark

dbt

Terraform

Job description

McKinsey & Company, Inc. is looking for a Data Engineer to build foundational data infrastructure for cutting-edge AI applications in Germany. You'll work on designing scalable data pipelines and collaborating with cross-functional teams while tackling real-world challenges.

Candidates should have 2+ years of relevant experience, a strong foundation in Python and SQL, and experience with data engineering tools such as Databricks and Snowflake. Exceptional communication skills in German and English are required as well.