Location: Ramat Gan (Bursa area), Israel – Hybrid model
What will you do?
Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.
5+ years of experience leading data engineering, data infrastructure, or related engineering teams, of 5+ people – a must
Strong technical background in data infrastructure, cloud computing, and production systems – a must
Hands-on experience with data warehousing tools such as Snowflake or BigQuery, and data pipeline orchestration tools such as Dagster or Apache Airflow – a must
Experience developing in Python
Experience productionizing big data, analytics, or data platform infrastructure
Experience leading agile teams and working with scrum methodologies
Demonstrated ability to lead multidisciplinary teams and collaborate effectively across interfaces.
Track record of helping teams improve how they work, including process improvement, automation, technical quality, or delivery practices.
Strategic mindset with the ability to connect technical decisions to team and business goals.
Strong English communication skills, written and spoken, for working with an international and multilingual team.
