תיאור תפקיד:
Head of Data Engineering
Bachelor’s degree in Computer Science or a related technical field.
7+ years of data engineering experience, preferably in a startup or fast-paced technology company.
4+ years of management experience, preferably in B2B2C, marketplace, SaaS, or consumer-scale environments.
Proven experience building and leading technical data teams, including data engineers, BI developers, and analysts.
Strong hands-on experience designing and scaling cloud data warehouses such as BigQuery or Snowflake.
Deep expertise in SQL, data modeling, ETL and ELT pipelines, orchestration tools such as Airflow, and analytics-ready data models.
Experience owning data quality, governance, event tracking, and company-wide source-of-truth systems.
Strong understanding of SaaS metrics, marketplace dynamics, and user behavior analytics.
*******
Data Team Lead
3+ years of experience leading a development team or serving as a Tech Lead for data/backend teams.
4+ years of hands-on experience with Python (Must).
5+ years of proven experience as a Big Data Backend or Data Engineer.
Deep understanding of Cloud environments alongside containerized On-Prem infrastructure (OpenShift, Kubernetes, Docker, Linux).
Strong experience with SQL and NoSQL
Proven experience processing large-scale data sets and working with CI/CD methodologies (e.g., GitLab).
BSc/BA in Computer Science, Software Engineering, or a related field.
דרישות:
Senior Data Engineer
BSc/BA in Computer Science, Software Engineering, or a related field. At least 6 years of proven experience as a Data Engineer. At least 3 years of hands-on experience with Python. Strong experience with both SQL and NoSQL databases Deep understanding of containerized environments and infrastructure (OpenShift, Docker, Kubernetes) and Linux environments. Experience working with CI/CD methodologies Proven experience in processing, manipulating, and optimizing large-scale data sets. ********** Senior Data Engineer - הפונקציה ראשונה בחברה BSc/BA in Computer Science, Engineering, or a related field. At least 5 years of experience with designing and building data pipelines, analytical tools, and data warehouses. Strong Python and SQL skills Practical experience building and maintaining ETL/ELT workflows using tools such as dbt and Airflow. Strong proficiency with modern BI platforms (such as Looker, Tableau, Power BI) - building dashboards, calculated fields, and self-serve data products.
היקף משרה:
משרה מלאה
קוד משרה:
JB-00622
אזור:
מרכז - תל אביב, פתח תקווה, רמת גן וגבעתיים, בקעת אונו וגבעת שמואל, חולון ובת-ים, מודיעין
שרון - חדרה וזכרון יעקב, נתניה ועמק חפר, רעננה, כפר סבא והוד השרון, ראש העין, הרצליה ורמת השרון
ירושלים - ירושלים, יהודה ושומרון, בית שמש
צפון - גליל, טבריה והכנרת, עפולה, נצרת ובית שאן, עכו, נהריה והגליל המערבי, קריות ועמק זבולון, חיפה והכרמל, גולן
דרום - אשדוד, קרית גת, באר שבע, דימונה, אשקלון, קרית מלאכי, ערד וים המלח
השפלה - ראשון לציון ונס- ציונה, רמלה לוד, רחובות, יבנה
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