In this role, you will serve as a technical owner, leading the design and implementation of scalable data architectures for AI systems. You will work within a global Data Engineering community, collaborating with Data Scientists and Machine Learning Engineers to deliver impactful AI solutions. Your focus will be on developing robust data pipelines and managing secure data environments while mentoring junior colleagues. This position offers the opportunity to tackle complex challenges and grow as a leader in the field of AI and data engineering.

• Degree in Computer Science/Engineering or equivalent experience
• 5+ years of relevant professional experience in a data engineering role
• Expert-level proficiency in Python and SQL
• Strong experience building Agentic AI, Generative AI, and Machine Learning systems
• Ability to lead the implementation of AI features end to end
• Experience implementing robust data security and governance controls
• Deep knowledge of MLOps/LLMOps including CI/CD for data workflows
• Exceptional time management and ability to own technical workstreams autonomously
• Strong communication skills in English and local office language(s)

• Design and lead the implementation of scalable data architectures for AI systems
• Develop robust data pipelines and manage secure data environments
• Mentor junior colleagues and collaborate with cross-functional teams
• Integrate machine learning and Generative AI capabilities into client solutions
• Spearhead the design of complex feature engineering workstreams
• Lead the creation of innovative enterprise-grade machine learning systems
• Collaborate with clients to design impactful solutions for complex business challenges

• 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.