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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
18,000-27,000 ₪
We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent, logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with a business orientation.
It involves working closely with the analysts, product, and the R&D team and directly affecting the company's cross-department decisions.
Our Data Engineer should be able to design and build a data flow from the API or source requirements with the most suitable tools to fit the data product requirements.
They need to speak in technical and practical terms and, more importantly, lead from one to the other while dealing with challenges, independent learning, and creating them to make our team even better.
Roles and Responsibilities:
Designing and building full data pipelines: From defining source structures to delivering clean, organized data ready for analysis, your work ensures analysts have everything they need to make smart, data-driven decisions
Translating business needs into scalable data solutions involves staying close to the roadmap, understanding technical nuances, and delivering purpose-built pipelines and tools
Writing high-quality, maintainable code: Following best practices while leveraging modern data engineering tooling and CI/CD principles
Solving complex data challenges creatively: Whether it's device identity (Device Graph), online-to-offline matching, privacy compliance, or server-to-server integrations
Managing multi-source data environments: We bring in data from over 50 sources (Marketing, Product, CS, CRM, Ops, and more), and you will assist in tying it all together into a reliable, insight-ready system
Keeping quality and reliability top of mind: Monitor, validate, and improve data quality while ensuring robust processes across the stack
The position combines high technical skills with a business orientation.
It involves working closely with the analysts, product, and the R&D team and directly affecting the company's cross-department decisions.
Our Data Engineer should be able to design and build a data flow from the API or source requirements with the most suitable tools to fit the data product requirements.
They need to speak in technical and practical terms and, more importantly, lead from one to the other while dealing with challenges, independent learning, and creating them to make our team even better.
Roles and Responsibilities:
Designing and building full data pipelines: From defining source structures to delivering clean, organized data ready for analysis, your work ensures analysts have everything they need to make smart, data-driven decisions
Translating business needs into scalable data solutions involves staying close to the roadmap, understanding technical nuances, and delivering purpose-built pipelines and tools
Writing high-quality, maintainable code: Following best practices while leveraging modern data engineering tooling and CI/CD principles
Solving complex data challenges creatively: Whether it's device identity (Device Graph), online-to-offline matching, privacy compliance, or server-to-server integrations
Managing multi-source data environments: We bring in data from over 50 sources (Marketing, Product, CS, CRM, Ops, and more), and you will assist in tying it all together into a reliable, insight-ready system
Keeping quality and reliability top of mind: Monitor, validate, and improve data quality while ensuring robust processes across the stack
Requirements:
B.A / B.Sc. degree in a highly quantitative field
4+ years of hands-on experience in data engineering, building data pipelines, writing complex SQL, and structuring data at scale
Fast learner with high attention to detail, and proven ability and passion to multitask on several projects at a time
Strong communication skills and a proven ability to collaborate effectively with different stakeholders on various projects and business/technical goals
Google Cloud Data tools (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or parallel tools on AWS
Fluent in Python, including experience working with APIs, building infrastructure tools (like custom Airflow operators), and managing data streams
High business intuition and analytical mindset, with a strong sense of how to turn raw data into insights and impact
Experience in designing and building scalable data systems for various data applications - an advantage
Experience in designing scalable data systems and analyzing data for insights - an advantage
Background in data-driven companies in large-scale environments - an advantage
B.A / B.Sc. degree in a highly quantitative field
4+ years of hands-on experience in data engineering, building data pipelines, writing complex SQL, and structuring data at scale
Fast learner with high attention to detail, and proven ability and passion to multitask on several projects at a time
Strong communication skills and a proven ability to collaborate effectively with different stakeholders on various projects and business/technical goals
Google Cloud Data tools (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or parallel tools on AWS
Fluent in Python, including experience working with APIs, building infrastructure tools (like custom Airflow operators), and managing data streams
High business intuition and analytical mindset, with a strong sense of how to turn raw data into insights and impact
Experience in designing and building scalable data systems for various data applications - an advantage
Experience in designing scalable data systems and analyzing data for insights - an advantage
Background in data-driven companies in large-scale environments - an advantage
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
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