עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
25,000-35,000 ₪
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 - 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
Data is at the heart of everything we do - 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
Requirements:
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
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
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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