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Data Engineer

Jurni·ישראל·
במקום העבודהמשרה מלאהData EngineeringeCommerce

Own the data architecture and pipelines powering AI models, merchant analytics, and product decisions. Design scalable systems processing millions of events, set data quality standards, and enable self-service insights. 5+ years experience with modern data stacks, strong TypeScript, and cloud infrastructure.

תחומי אחריות

  • Architect and build scalable data pipelines processing millions of events daily from multiple sources.
  • Own data warehouse strategy end-to-end: reliability, performance, and scalability.
  • Define event architecture and set standards for how the company captures and models product and business data.
  • Build data quality practices including monitoring, validation, testing, and alerting.
  • Partner with Product and Engineering teams to unlock data behind AI features, merchant analytics, and experimentation.
  • Build self-service tooling for other teams to query and analyze data independently.
  • Set the bar for data modeling, orchestration, and documentation across the organization.

דרישות

  • 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 (ClickHouse preferred).
  • Experience with workflow orchestration for building observable, reliable pipelines (Temporal preferred).
  • Strong TypeScript skills, with the ability to ship production-grade, well-tested code.
  • Experience running services in containerized cloud environments (Kubernetes and AWS preferred).
  • Familiarity with in-memory data stores and caching (Redis preferred).
  • Sharp instincts for data modeling, event-driven architecture, and data quality.
  • Pragmatic, ownership-driven mindset with comfort in ambiguous territory.
  • Ability to translate infrastructure decisions into business impact for non-technical stakeholders.

יתרון

  • 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.

הטבות

  • Competitive compensation and equity.
  • High ownership and impact from day one.
  • Close collaboration with a small, senior team.
  • Office location in Tel Aviv.

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