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.
- 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 Omni.
- 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.
Skills Required
- 4+ years of experience as a Data Engineer, Analytics Engineer, or similar hands-on data role
- Strong command of SQL
- 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
- Ownership of data quality, observability, and documentation across datasets and pipelines
- Excellent communication skills and ability to connect technical work with business impact
- Experience implementing or managing BI tools such as Tableau, Looker, or Omni
- 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
What We Do
Trigo is a computer vision AI company working with global retail clients tackling their everyday challenges, including Loss Prevention, Autonomous Stores, Data Intelligence and more.
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