Data and Insights Engineer

2 days ago

Ramat Gan, Tel Aviv, Israel Trigo Full time ₪60,000 - ₪120,000 per year

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.

Requirements
None
The position
None
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
Nice to have
  • 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
Perks and Benefits
None

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