Senior GenAI Data Engineer (Databricks)

Jobgether·Lever
MexicoFull-timePosted Jul 6, 2026
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GenAI Data Engineer (Databricks) based in Mexico.

This role sits at the intersection of data engineering and applied AI, focused on building scalable, intelligent data platforms that power advertising performance and financial reconciliation. You will design and optimize modern data pipelines and AI-driven workflows that transform large-scale datasets into reliable, actionable insights. The environment is fast-moving, collaborative, and highly technical, requiring strong ownership and curiosity. You will work closely with engineering, product, and analytics teams to embed AI capabilities directly into production data systems. A key part of your impact will be enabling natural language access to data and automating complex reporting and enrichment processes. This is a high-growth setting where innovation, experimentation, and data quality are central to success.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GenAI Data Engineer (Databricks) based in Mexico.

This role sits at the intersection of data engineering and applied AI, focused on building scalable, intelligent data platforms that power advertising performance and financial reconciliation. You will design and optimize modern data pipelines and AI-driven workflows that transform large-scale datasets into reliable, actionable insights. The environment is fast-moving, collaborative, and highly technical, requiring strong ownership and curiosity. You will work closely with engineering, product, and analytics teams to embed AI capabilities directly into production data systems. A key part of your impact will be enabling natural language access to data and automating complex reporting and enrichment processes. This is a high-growth setting where innovation, experimentation, and data quality are central to success.

Accountabilities:

    • Architect and deploy AI agents within the Databricks ecosystem for data enrichment, anomaly detection, and automated reasoning.
    • Build and maintain scalable data pipelines ensuring high data quality, reliability, and traceability.
    • Develop advanced SQL models and semantic layers to support analytics and business intelligence use cases.
    • Integrate LLM APIs such as OpenAI and Anthropic into production data workflows.
    • Develop “chat with your data” solutions enabling natural language querying over enterprise datasets.
    • Implement RAG pipelines using vector search and modern AI orchestration frameworks.
    • Collaborate with cross-functional teams (Product, Engineering, Analytics, Business) to deliver scalable data solutions.
    • Optimize performance, automation, and CI/CD processes for data and AI workflows.
    • Ensure strong governance, documentation, and maintainability across all data assets.
    • Requirements:

      • Strong hands-on experience with Databricks Lakehouse architecture.
      • Advanced SQL skills and experience in data modeling at scale.
      • Experience integrating LLM APIs (e.g., OpenAI, Anthropic) into engineering workflows.
      • Practical experience building AI-driven features such as enrichment, anomaly detection, and classification.
      • Experience with frameworks like LangChain, LlamaIndex, or similar orchestration tools.
      • Knowledge of RAG systems and vector databases for semantic retrieval.
      • Understanding of tool/function calling for secure LLM-to-database/API interactions.
      • Exposure to prompt engineering and guardrailing techniques for reliable AI outputs.
      • Familiarity with CI/CD pipelines, GitHub workflows, and YAML-based configurations.
      • Strong problem-solving mindset with ability to operate autonomously in ambiguous environments.
      • Excellent communication skills and ability to collaborate across technical and non-technical teams.
      • Benefits:

        • Competitive monetary compensation and year-end bonus
        • Social security coverage including IMSS, AFORE, and INFONAVIT
        • Major medical and life insurance coverage
        • Funeral, bereavement, and life event leave policies
        • Work-from-home support and hybrid flexibility options
        • Vacation entitlement plus official Mexican holidays and additional personal leave days
        • Birthday bonus and employee reward programs
        • Training budget, certifications, and access to educational partners
        • English classes and continuous learning opportunities
        • Corporate discounts and lifestyle agreements
        • Laptop provision and work equipment support
        • Health check-up subsidies and wellness programs
        • Transportation, insurance, and lifestyle preferential rates
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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