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. This position offers the opportunity to grow as a technologist while working alongside diverse experts in the field. You will be part of a global Data Engineering community, driving innovation and delivering impactful AI solutions.

• 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
• Proven experience building end-to-end data pipelines for AI and Business Intelligence
• A strong foundation in system design and data storage with commonly used data platforms
• Hands-on experience with MLOps/LLMOps principles
• Experience building systems with different data formats and processing methods
• Exceptional time management in a complex work environment
• Commercial client-facing or senior stakeholder management experience is beneficial
• 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 closely with Data Scientists, Machine Learning Engineers, and industry experts
• Contribute to R&D initiatives focused on innovating AI capabilities
• Build robust data foundations for production-ready AI systems
• Translate simple hypotheses into engineered features
• Assess data landscapes and apply data quality fundamentals
• Drive lasting impact and build long-term capabilities with clients

• 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.