This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Data Engineer | Databricks | MCP based in Mexico.
Join a fast-growing, technology-driven environment where data and AI sit at the core of advertising performance and financial intelligence. In this role, you will design and scale advanced data and AI workflows that power reporting, billing reconciliation, and business-critical insights. You will work at the intersection of data engineering, machine learning, and modern AI systems, building robust pipelines and intelligent automation on top of Databricks. Collaborating closely with cross-functional teams across Product, Engineering, Analytics, and Business, you will help transform complex datasets into reliable, actionable intelligence. This is a hands-on, high-impact role in a dynamic, fast-paced organization that values innovation, ownership, and continuous improvement.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Data Engineer | Databricks | MCP based in Mexico.
Join a fast-growing, technology-driven environment where data and AI sit at the core of advertising performance and financial intelligence. In this role, you will design and scale advanced data and AI workflows that power reporting, billing reconciliation, and business-critical insights. You will work at the intersection of data engineering, machine learning, and modern AI systems, building robust pipelines and intelligent automation on top of Databricks. Collaborating closely with cross-functional teams across Product, Engineering, Analytics, and Business, you will help transform complex datasets into reliable, actionable intelligence. This is a hands-on, high-impact role in a dynamic, fast-paced organization that values innovation, ownership, and continuous improvement.
Accountabilities:
- Design, build, and maintain scalable data pipelines and architectures on Databricks to support analytics, AI, and business reporting needs.
- Develop and optimize reporting infrastructure for advertising performance and billing reconciliation, ensuring accuracy, automation, and reliability.
- Build and deploy AI-powered solutions, including agents, data enrichment workflows, and NLP-based automation within Databricks environments.
- Develop "Chat with your Data" capabilities enabling natural language interaction with enterprise data systems.
- Integrate LLM APIs (such as OpenAI or Anthropic) into data workflows to enable automation, classification, and anomaly detection.
- Implement and maintain scalable data models supporting AI and analytics use cases across the organization.
- Ensure data quality, traceability, governance, and reliability across all pipelines and systems.
- Collaborate with engineering, analytics, and product teams to improve data infrastructure and deliver high-impact solutions.
- Support CI/CD workflows and modern engineering practices to ensure scalable and maintainable deployments.
- Optimize performance, scalability, and efficiency of AI-driven data systems and workflows.
- Strong hands-on experience with Databricks Lakehouse architecture.
- Advanced SQL skills with solid experience in data modeling and large-scale datasets.
- Proven experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production data workflows.
- Strong knowledge of AI-driven use cases such as data enrichment, anomaly detection, and automated classification.
- Experience with frameworks such as LangChain, LlamaIndex, or equivalent.
- Familiarity with Model Context Protocol (MCP) or similar approaches for connecting AI systems with external tools and data sources.
- Strong understanding of tool/function calling concepts for safe and structured LLM interactions with databases and APIs.
- Experience in prompt engineering and designing guardrails for reliable AI system behavior.
- Exposure to Databricks Mosaic AI and Unity Catalog is a strong plus.
- Experience building RAG pipelines using vector search is highly desirable.
- Familiarity with GitHub workflows, CI/CD pipelines (e.g., Jenkins), and YAML-based configuration management.
- Strong problem-solving mindset with the ability to thrive in fast-paced, ambiguous environments.
- Excellent collaboration and communication skills across technical and non-technical stakeholders.
- Competitive monetary compensation.
- Year-end bonus.
- Social security coverage (IMSS), retirement fund (AFORE), and housing fund (INFONAVIT).
- Major medical insurance, life insurance, and funeral coverage.
- Health and wellness support including medical subsidies and check-ups.
- Vacation days, official Mexican holidays, and additional personal leave options.
- English classes, certifications, and continuous learning opportunities.
- Educational partnerships with leading universities and institutions.
- Corporate discounts, rewards programs, and lifestyle benefits.
- Work-from-home support and remote work flexibility.
- Laptop provision and modern work equipment.