Data and Insights Engineer - Customer Value & Insights

Trigo – 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 & Analytics Engineer to join our Customer Performance team and help shape the foundation of 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
  
  

• 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
  
  

• Experience implementing or managing BI tools such as Tableau, Looker, or Hex
• Understanding of retail, computer vision, or hardware data environments
• Exposure to time-series data, anomaly detection, or performance monitoring
• Interest in shaping a growing data organization and influencing its direction