#8 Data Engineer Senior - Databricks - Latam

Role overview Build and improve data products for a large beverage business, contributing to systems that support analytics and machine learning. The role combines hands-on pipeline development with helping domain teams define reliable, well-owned data products.

Responsibilities - Develop batch and streaming pipelines, semantic models, and data transformations using Databricks, Python, and Spark. - Define and maintain data contracts, quality checks, and service-level objectives for data products. - Advise domain teams on data modeling and how to organize products across business domains. - Coach engineers and analysts on data ownership and sound engineering practices. - Gather feedback from teams and use it to improve platform templates, tools, and development patterns.

Requirements - Experience building and optimizing data engineering pipelines. - Practical experience with Databricks, Python, and Spark for batch and streaming workloads. - Familiarity with a business intelligence visualization tool such as Looker or Tableau.

Nice to have - Feature Store certification or experience working with financial data. - Experience building AI agents or agent infrastructure, including orchestration or MCP.

Benefits and work setup - Remote-first work arrangement. - Support for professional certifications, English lessons, and monthly benefits marketplace credits. - Additional time off includes a birthday day and an extra vacation week; childcare reimbursement and referral bonuses are also offered.