Data Engineer Databricks - Mexico

Role overview A Data Engineer role embedded with a leading multinational beverage company based in Mexico City, delivered through a remote-first data products and machine learning startup. The position focuses on building and governing scalable machine learning and data solutions, turning complex business data into trustworthy, well-governed AI products. It requires strong data governance instincts, attention to detail, and a reuse-first mindset in a fast-paced, collaborative environment.

Responsibilities - Co-develop batch and streaming pipelines, semantic models, and transformations on Databricks using Python and Spark - Define and maintain data contracts, quality rules, and data SLOs for each data product - Guide domain teams on data modeling and data product boundaries, clarifying what belongs to each product or domain - Train, mentor, and pair with domain engineers and analysts on data product ownership and sound engineering practices - Capture feedback and best practices from domains and feed improvements back into platform templates, tooling, and patterns

Requirements - Hands-on experience in data engineering, including building and optimizing data pipelines - Experience working with Databricks, Python, and Spark to build both batch and streaming workloads - Familiarity with a BI visualization tool such as Looker or Tableau

Nice to have - Feature Store certification (Fundamentals or Expert) and experience with financial data - Experience developing AI agents or agentic infrastructure, for example Mosaic AI Agent Framework, agent orchestration, or MCP

Benefits and work setup - Remote-first culture with the ability to work from anywhere - Full coverage of AWS, DBT, Google Cloud, Azure, and Databricks certifications - In-company English lessons - Birthday off plus an extra vacation week - Referral bonuses and a monthly benefits marketplace credit - Annual company-wide offsite trip - Monthly childcare reimbursement