Data Engineer / Analytics Engineer (GCP, BigQuery)

Role overview Design and improve data systems that turn information from multiple sources into reliable, timely inputs for analytics, operations and digital products. This role connects data architecture and engineering with business needs, supporting data-informed decisions across teams in Latin America.

Responsibilities - Build and maintain scalable data pipelines for analytical and operational use cases. - Assess existing data sources and architectures to identify gaps, inefficiencies and opportunities to improve. - Develop an integration and data-completeness roadmap that improves information availability, quality and traceability. - Translate business needs into technical specifications with product, analytics, technology and business partners. - Implement and optimize solutions using cloud data tools, Python, APIs and infrastructure as code; maintain version control, documentation and monitoring. - Contribute to prioritization, data governance, team standards and peer development.

Requirements - Advanced SQL skills and hands-on experience with BigQuery. - Experience with Dataform or a comparable data modeling framework such as dbt. - Strong Python skills for data processing and API integrations. - Practical knowledge of Terraform and Git. - Understanding of the data lifecycle and how data supports products and business decisions. - Ability to communicate with technical and non-technical stakeholders and contribute to Agile, cross-functional work. - Fluent Spanish and intermediate English for documentation and international collaboration.

Nice to have - Experience shaping data roadmaps or contributing to technology evolution plans. - Experience mentoring peers and improving data engineering standards.