> Markdown version of [/jobs/ext/4085489-data-engineer-quantumblack-ai-by-mckinsey](https://www.wearedevelopers.com/jobs/ext/4085489-data-engineer-quantumblack-ai-by-mckinsey). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - QuantumBlack, AI by McKinsey - **Company:** McKinsey & Company - **Location:** Amsterdam, Netherlands - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Cursor, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, Software Tools, Standard Sql, Software Organization, Google Cloud, LangChain, Claude Code, Snowflake, Apache Spark, Generative AI, AI Coding Agents, Agentic-AI, Git, Pandas, Information Technology, Data Management, Machine Learning Operations, Software Version Control, Databricks, Programming Languages - **Published:** October 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d60bc209c2905390 ## About the Role Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place., * Degree in Computer Science/Engineering, or equivalent experience * Experience in a data-focused role (internships, academic projects) * Ability to write clean, well-documented code in a modern programming language, with a strong preference for Python and SQL * Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch) * Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.) * Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles * Exceptional time management in a complex and largely autonomous work environment * Willingness to learn quickly and adapt to different project situations and tech stacks * Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus * Strong communication skills, both verbal and written, in English