Data Engineer
공고 요약
담당업무
LLM, 검색 시스템, 워크플로 및 에이전틱 아키텍처를 지원하는 데이터 인프라 구축
확장 가능한 데이터 파이프라인 설계·구축·유지보수
보안 데이터 환경 관리 및 AI 시스템용 데이터 준비
머신러닝·에이전틱·자율형 AI 시스템을 위한 확장 가능하고 재현 가능한 데이터 컴포넌트 개발
데이터 환경 평가 및 데이터 품질 관리
가설을 엔지니어링 피처로 전환하고 AI 역량 확장 관련 R&D 프로젝트 참여
QuantumBlack 및 Labs 팀과 협업해 AI 역량과 엔터프라이즈 솔루션 개발
프로덕션 수준의 확장 가능한 AI 시스템을 위한 데이터 기반 구축
Data Scientist, Machine Learning Engineer, 산업 전문가와의 애자일 협업
데이터 오너부터 C레벨 임원까지 고객과 협업해 복잡한 문제 해결 및 비즈니스 가치 창출
자격요건
Python, SQL 등 현대 프로그래밍 언어로 깔끔하고 문서화된 코드 작성
데이터 엔지니어링 및 Agentic AI, Generative AI, Machine Learning, Business Intelligence에 대한 관심 또는 경험
정형·비정형 데이터와 스트리밍·배치 처리 방식에 대한 이해
Databricks, Snowflake, BigQuery, PSQL 등 데이터 플랫폼 활용 경험
AWS, Azure, GCP 등 클라우드 플랫폼 활용 경험
Pandas, Spark, dbt, LangChain 등 엔지니어링 도구 활용 경험
Git 기반 버전 관리 및 DevOps, MLOps·LLMOps, CI/CD 기초 개념 이해
영어와 현지 오피스 언어를 활용한 구두·서면 커뮤니케이션 능력
복잡하고 자율적인 업무 환경에서의 뛰어난 시간 관리
빠른 학습과 다양한 프로젝트 상황 및 기술 스택에 대한 적응력
마감기한
상시채용
맥킨지&컴퍼니 지원하기 전 이력서 Check
시간이 없다면 AI와 한번에 수정해보세요
공고 원문
소개
As a Data Engineer I, you will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures. You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You’ll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.
주요업무
• Build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures • Design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients • Design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems • Assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions • Learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities • Collaborate across McKinsey's QuantumBlack and Labs teams to develop innovative AI capabilities and scalable enterprise solutions • Help build robust data foundations for scalable, production-ready AI systems • Work in cross-functional Agile teams, collaborating closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions • Partner with clients from data owners to C-level executives to help solve complex problems that drive tangible business value
자격요건
• Degree in Computer Science/Engineering, or equivalent experience • 0-2+ years' 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 • Strong communication skills, both verbal and written, in English and local office language(s) • Exceptional time management in a complex and largely autonomous work environment • Willingness to learn quickly and adapt to different project situations and tech stacks
우대사항
• Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus • Degree in computer science, engineering, mathematics, or equivalent experience • Ability to write clean and maintainable code in an object-oriented language, e.g., Python, Scala, Java • Familiarity with analytics libraries (e.g. pandas, numpy, matplotlib), distributed computing frameworks (e.g. Spark, Dask), and cloud platforms (e.g. AWS, Azure, GCP) • Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps will be beneficial • Willingness to travel • Fluent level language skills in Korean and in English
혜택 및 복지
• On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children
