Data Engineer

Trigo is Crafting Tomorrow's Retail Experience We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate, one store at a time. Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights, all while delivering clear value from day one. With multiple global deployments, deep partnerships with leading retailers, and a product suite that’s proving its impact every day, Trigo isn’t just imagining the future of retail, we’re building it. We are looking for a Data Engineer to join our team and help shape Trigo’s data platform. You will own the data layer, evolve our BI semantic layer on a modern BI platform, and enable teams across the company to access and trust their data. Working closely with analysts and stakeholders in Operations, Product, R&D, and Customer Success, you’ll turn complex data into insights that drive performance and customer value. A day in the life Build and expand Trigo’s analytics data stack. Design and maintain curated data models that power self-service analytics and dashboards. Develop and own the BI semantic layer on a modern BI platform. Collaborate with analysts to define core metrics, KPIs, and shared business logic. Partner with Operations, R&D, Product, and Customer Success teams to translate business questions into scalable data solutions. Ensure data quality, observability, and documentation across datasets and pipelines. Support complex investigations and ad-hoc analyses that drive customer and operational excellence. You bring to the table 4+ years of experience as a Data Engineer, Analytics Engineer, or similar hands-on data role Strong command of SQL and proficiency in Python for data modeling and transformation Experience with modern data tools such as dbt, BigQuery, and Airflow (or similar) Proven ability to design clean, scalable, and analytics-ready data models Familiarity with BI modeling and metric standardization concepts Experience partnering with analysts and stakeholders to deliver practical data solutions A pragmatic, problem-solving mindset and ownership of data quality and reliability Excellent communication skills and ability to connect technical work with business impact