Data Engineer

About The Role

We're hiring a Data Engineer to architect and own the systems that turn raw signal from merchants, customers, and experiments into something the whole company can build on.

Data is at the heart of everything we do at Jurni - it powers our AI models, drives merchant-facing analytics, and informs how we make product decisions every day.

This is a high-ownership role for someone who wants to shape data architecture from the ground up- not inherit someone else's roadmap. You'll be the person who makes sure our data is fast, trustworthy, and easy for every team to use.

What You'll Do

• Architect and build scalable data pipelines processing millions of events daily from merchant stores, product usage, experiments, and third-party integrations
• Own our data warehouse strategy end-to-end- reliability, performance, and scalability as we grow
• Define our event architecture and set the standards for how the company captures and models product and business data
• Build data quality practices- monitoring, validation, testing, and alerting- that the rest of the team can trust
• Partner directly with Product and Engineering to unlock the data behind our AI features, merchant analytics, and experimentation
• Build self-service tooling so other teams can query and analyze data without depending on you as a bottleneck
• Set the bar for data modeling, orchestration, and documentation across the org
  
  

• 5-8+ years of experience in data engineering, with a track record of owning data infrastructure end-to-end
• Deep experience designing and operating pipelines and warehouse architecture at scale
• Hands-on expertise with Postgres and modern data warehouses (we use ClickHouse)
• Experience with workflow orchestration for building observable, reliable pipelines (we use Temporal)
• Strong TypeScript skills, with the ability to ship production-grade, well-tested code
• Experience running services in containerized cloud environments (we use Kubernetes and AWS)
• Familiarity with in-memory data stores and caching (we use Redis)
• Sharp instincts for data modeling, event-driven architecture, and data quality
• A pragmatic, ownership-driven mindset- you're comfortable setting direction in ambiguous territory
• The ability to translate infrastructure decisions into business impact for non-technical stakeholders
  
  

• Experience building data infrastructure for AI/ML products
• Background in e-commerce, or platforms like Shopify
• Familiarity with experimentation platforms and A/B testing analytics
  
  

• We're a fast-moving team building the data and AI infrastructure behind the future of AI-native commerce
  
  

• Work closely with a small, senior team where your decisions have immediate, visible impact
• Competitive compensation and equity, based in our Tel Aviv office