Data Engineering Consultant - QuantumBlack, AI by McKinsey

McKinsey & Company is hiring for their QuantumBlack, AI by McKinsey teams in Warsaw, Poland, focusing on building data infrastructure and AI systems for enterprise clients across industries.

• Degree in Computer Science, Engineering, or equivalent experience.
• 2+ years of experience building and deploying data solutions.
• Strong proficiency in Python and SQL for data engineering with production-grade code experience.
• Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence.
• Familiarity with data preparation, embeddings generation, vector search, and system integration using modern frameworks such as Spark, dbt, and LangChain.
• Strong foundation in system design, data storage, and reliability with platforms like Databricks, Snowflake, BigQuery, and PostgreSQL.
• Hands-on experience with MLOps/LLMOps principles, including CI/CD, automated agent evaluation tools (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform).
• Experience with varied data formats (structured vs unstructured), data processing methods (streaming vs batch), and cloud platforms (AWS, Azure, GCP).
• Strong time management skills in autonomous work environments.
• Client-facing or senior stakeholder management experience is beneficial.
• Experience using coding agents such as Cursor, Claude Code, or Codex is a plus.
• Strong verbal and written communication skills in English and Polish.

• Build foundational data infrastructure for AI applications leveraging LLMs, retrieval systems, workflows, and agentic architectures.
• Design and maintain scalable data pipelines and manage secure data environments.
• Prepare data for AI-driven systems and collaborate with cross-functional teams including Data Scientists and Machine Learning Engineers.
• Translate hypotheses into engineered features and participate in R&D initiatives for innovative AI capabilities.
• Collaborate with clients from data owners to C-level executives to solve complex business problems at scale.