Head of Data Engineering/Senior Data Engineer/Data Team Lead

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. 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.