In this role, you will build foundational data infrastructure for advanced AI applications, focusing on scalable data pipelines and secure data environments. You will collaborate with cross-functional teams to tackle real-world challenges and contribute to the development of next-generation AI systems. The position offers opportunities for growth as you work alongside diverse experts and engage with clients to drive tangible business value. You will be part of a global Data Engineering community, working in Agile teams to deliver innovative AI solutions.

• Upcoming graduation between December 2026 and August 2027 with a degree in an engineering discipline.
• Experience in a data-focused role, including internships or academic projects.
• Ability to write clean, well-documented code in a modern programming language, preferably Python and SQL.
• Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence.
• Familiarity with commonly used data platforms and cloud platforms.
• Exposure to modern software development practices, including version control and foundational concepts in DevOps.
• Exceptional time management skills in a complex and largely autonomous work environment.
• Willingness to learn quickly and adapt to different project situations and tech stacks.
• Strong communication skills in English and local office language(s).

• Design and maintain scalable data pipelines for AI-driven systems.
• Manage secure data environments and prepare data for AI solutions.
• Collaborate with Data Scientists, Machine Learning Engineers, and industry experts.
• Contribute to R&D initiatives focused on innovating and scaling AI capabilities.
• Assess data landscapes and apply data quality fundamentals.
• Translate simple hypotheses into engineered features.
• Build robust data foundations for scalable, production-ready AI systems.
• Help solve complex business problems at scale.

• Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.