Data Engineer II - QuantumBlack, AI by McKinsey
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Role details
Tech stack
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Requirements
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? Youâve come to the right place., Degree in Computer Science/Engineering, or equivalent experience 2+ years of relevant professional experience building and deploying data solutions Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings generation, vector search, and system integration using modern frameworks (Spark, dbt, LangChain) A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.) Hands-on experience with MLOps/LLMOps principles, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch) and deploying across major cloud platforms (AWS, Azure, GCP) Exceptional time management in a complex and largely autonomous work environment Commercial client-facing or senior stakeholder management experience is beneficial Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus Strong communication skills, both verbal and written, in English and local office language(s)
Benefits & conditions
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, weâll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, youâll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you wonât find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. Youâll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firmâs diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, youâll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
About the company
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. Youâll 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.
You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. Youâll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, youâll 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.
Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, youâll help develop innovative AI capabilities and scalable enterprise solutions. Youâll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firmâs ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.
Youâll be based in one of our North American offices as part of our global Data Engineering community. Working in cross-functional Agile teams, youâll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients-from data owners to C-level executives-youâll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.
You will grow at the forefront of AI, data engineering, and emerging agentic technologies. Youâll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, youâll gain a holistic understanding of how data engineering enables advanced AI while collaborating with leading AI and data experts in the industry., Please review the additional requirements regarding essential job functions of McKinsey colleagues. Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
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