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
30,000-45,000 ₪
We are looking for a highly motivated and experienced Data Engineering Team Lead to guide a global team responsible for building and maintaining the data infrastructure that powers our products. This team collaborates closely with software engineers, data scientists, product managers, analysts, and external partners to deliver scalable, high-quality data solutions that drive business impact.
Key Responsibilities
Lead a global team of software engineers, centered in Israel, operating under the Agile Scrum methodology.
Own the teams execution, quality, and alignment to data architecture and company-wide engineering standards.
Work together with product managers to define priorities for each sprint and align engineering efforts to business goals.
Guide the teams involvement in cross-functional projects alongside Software, ML, Analytics, and Partner teams.
Ensure secure, reliable, and efficient access to internal and third-party data sources across all products.
Actively participate in roadmap planning, resource allocation, and technical design reviews.
Provide mentorship, technical guidance, and growth opportunities to team members.
Key Responsibilities
Lead a global team of software engineers, centered in Israel, operating under the Agile Scrum methodology.
Own the teams execution, quality, and alignment to data architecture and company-wide engineering standards.
Work together with product managers to define priorities for each sprint and align engineering efforts to business goals.
Guide the teams involvement in cross-functional projects alongside Software, ML, Analytics, and Partner teams.
Ensure secure, reliable, and efficient access to internal and third-party data sources across all products.
Actively participate in roadmap planning, resource allocation, and technical design reviews.
Provide mentorship, technical guidance, and growth opportunities to team members.
Requirements:
5+ years of hands-on experience in data engineering, with at least 2 years in a team or technical leadership role.
Strong technical background in building and maintaining production-grade data pipelines using tools like Airflow, Spark, Kafka, or similar.
Excellent communication skills, with the ability to clearly convey technical ideas to both technical and non-technical stakeholders.
Strong cross-functional collaboration skills, including working directly with product managers on sprint planning and aligning engineering with business priorities.
Proven experience working with both structured and unstructured data, including RDBMS and NoSQL solutions.
Deep understanding of cloud-based data platforms (preferably AWS) and infrastructure as code.
Nice to have:
Familiarity with ML pipelines, feature stores, and supporting data scientists in production environments.
Familiarity with Generative AI tools such as Cursor, GitHub Copilot, Claude Code or similar technologies.
Strong grasp of data security, reliability, and compliance practices.
Exposure to real-time or near-real-time data systems in mobility, IoT, or similar domains.
5+ years of hands-on experience in data engineering, with at least 2 years in a team or technical leadership role.
Strong technical background in building and maintaining production-grade data pipelines using tools like Airflow, Spark, Kafka, or similar.
Excellent communication skills, with the ability to clearly convey technical ideas to both technical and non-technical stakeholders.
Strong cross-functional collaboration skills, including working directly with product managers on sprint planning and aligning engineering with business priorities.
Proven experience working with both structured and unstructured data, including RDBMS and NoSQL solutions.
Deep understanding of cloud-based data platforms (preferably AWS) and infrastructure as code.
Nice to have:
Familiarity with ML pipelines, feature stores, and supporting data scientists in production environments.
Familiarity with Generative AI tools such as Cursor, GitHub Copilot, Claude Code or similar technologies.
Strong grasp of data security, reliability, and compliance practices.
Exposure to real-time or near-real-time data systems in mobility, IoT, or similar domains.
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.
תל אביב - יפו
