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. You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You'll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you'll 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. You'll help build robust data foundations for scalable, production-ready AI systems. You'll be based in Monterrey as part of our global Data Engineering community. Working in cross-functional Agile teams, you'll 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 you'll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist. You will have a unique opportunity to grow at the forefront of AI, data engineering, and emerging agentic technologies. Working alongside multidisciplinary teams, you'll gain a holistic understanding of how data engineering enables advanced AI while collaborating with some leading AI and data experts in the industry.




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. Global community: Degree in Computer Science/Engineering, or equivalent experience
~5+ years of relevant professional experience in a data engineering role, with experience leading technical workstreams, mentoring junior engineers, and driving the adoption of software engineering best practices within a team
~ Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
~ Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.)
~ Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost
~ Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)
~ Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)
~ Experience using coding agents (Cursor, Claude Code, Codex, etc.) Strong communication skills, both verbal and written, in English and Spanish

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📌 Senior Data Engineer (Monterrey)
🏢 Mckinsey
📍 Monterrey