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 • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
15,000-22,000 ₪
looking for a Data Engineer to help build and scale our analytics data infrastructure. In this role, you will work closely with analysts and business stakeholders to design reliable data models and support the development of a centralized semantic layer used across the company.
You will play a key role in improving the structure, reliability, and usability of our data stack. This includes building and maintaining dbt models, supporting data pipelines, and ensuring analysts have access to clean, well-documented, and consistent data.
This role is ideal for someone who enjoys working at the intersection of data engineering and analytics - translating business needs into scalable data models and enabling teams to move faster with trusted data.
Responsibilities
Design and implement data models that support analytics across key business domains such as GTM, CX, and Finance
Build and maintain transformation workflows using dbt
Work closely with analysts to translate business questions into scalable and reusable data models
Help define and implement a structured semantic layer that enables consistent metrics across the company
Improve the reliability and clarity of the analytics data stack by centralizing logic into well-designed data models
Support the ingestion and transformation of data from various sources using tools such as Fivetran and Airbyte
Contribute to improving data quality, monitoring, and documentation practices
Help establish best practices for analytics modeling and data usage across teams
Actively leverage AI tools (e.g. Cursor, LLM-based assistants) to improve development speed, data modeling, and data workflows
You will play a key role in improving the structure, reliability, and usability of our data stack. This includes building and maintaining dbt models, supporting data pipelines, and ensuring analysts have access to clean, well-documented, and consistent data.
This role is ideal for someone who enjoys working at the intersection of data engineering and analytics - translating business needs into scalable data models and enabling teams to move faster with trusted data.
Responsibilities
Design and implement data models that support analytics across key business domains such as GTM, CX, and Finance
Build and maintain transformation workflows using dbt
Work closely with analysts to translate business questions into scalable and reusable data models
Help define and implement a structured semantic layer that enables consistent metrics across the company
Improve the reliability and clarity of the analytics data stack by centralizing logic into well-designed data models
Support the ingestion and transformation of data from various sources using tools such as Fivetran and Airbyte
Contribute to improving data quality, monitoring, and documentation practices
Help establish best practices for analytics modeling and data usage across teams
Actively leverage AI tools (e.g. Cursor, LLM-based assistants) to improve development speed, data modeling, and data workflows
Requirements:
2-4 years of experience in bi/data engineering, analytics engineering or a similar role.
Strong SQL skills and experience working with modern data warehouses.
Experience building and maintaining data models for analytics.
Familiarity with modern data stack tools such as dbt, Snowflake/Bigquery, Fivetran/Rivery, or similar.
Experience collaborating with analysts or BI teams.
Familiarity with Python for data-related tasks (scripting, automation, or tooling).
Hands-on experience using AI tools (e.g. Cursor, LLMs) as part of day-to-day development workflows.
Strong problem-solving skills and the ability to work in evolving data environments.
Clear communicator who can work effectively with both technical and non-technical stakeholders.
2-4 years of experience in bi/data engineering, analytics engineering or a similar role.
Strong SQL skills and experience working with modern data warehouses.
Experience building and maintaining data models for analytics.
Familiarity with modern data stack tools such as dbt, Snowflake/Bigquery, Fivetran/Rivery, or similar.
Experience collaborating with analysts or BI teams.
Familiarity with Python for data-related tasks (scripting, automation, or tooling).
Hands-on experience using AI tools (e.g. Cursor, LLMs) as part of day-to-day development workflows.
Strong problem-solving skills and the ability to work in evolving data environments.
Clear communicator who can work effectively with both technical and 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 • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
ערב
סבסוד
