Data Engineering team leader

ONE datAI, a division of One Technologies, is a premier provider of professional Data and AI solutions. Since its establishment in 2006, the company has been at the forefront of Israel׳s data innovation field, offering services in data infrastructure, analytics, AI/ML solutions, and more. With a team of over 200 skilled professionals, ONE datAI specializes in transforming complex data challenges into strategic opportunities. Trusted by leading organizations across divere sectors such as finance, healthcare, retail, transportation, and manufacturing, ONE datAI is committed to delivering excellence and driving innovation.

We are looking for an experienced, hands-on Data Engineering Team Lead with deep technical expertise for a key role in a dynamic project and consulting environment.

This role is ideal for someone who combines strong professional and technical authority, the ability to lead people and projects, and the mental flexibility to seamlessly switch between different domain areas, clients, and technological challenges.

• Professional & Technical Leadership: Lead a team of Data Engineers.
• End-to-End Delivery: Take ownership of the planning, architecture, and development of end-to-end data solutions.
• Project Delivery: Drive data projects and solutions for a wide range of clients and systems.
• Databricks Focus: Extensive work with Databricks, leading platform-based solutions.
• Technical Decision-Making: Make key architectural decisions and provide expert guidance to teams, clients, and stakeholders.
• Design & Architecture: Perform design and architecture for complex data solutions.
• Pipeline & Platform Management: Lead Data Engineering processes including data pipelines, ETL/ELT workflows, integrations, Data Lakes, and Lakehouse architectures.
• Problem Solving: Solve complex technical issues and rapidly adapt to new projects or technical environments.
• Multitasking & Agility: Work concurrently on multiple tasks and projects, frequently transitioning between different clients, business needs, and technologies.
• Mentorship: Provide mentoring, guidance, and professional development for team members.
• Stakeholder Engagement: Collaborate with business and technical stakeholders, translating business requirements into effective data solutions.

• 5–7+ years of experience in Data Engineering, with significant experience in a Senior / Tech Lead / Team Lead role.
• Proven experience with Databricks, dbt, or Snowflake (Strong preference for Databricks).
• Hands-on experience in designing and building data pipelines and ETL/ELT processes.
• Strong proficiency in Python and SQL.
• Deep knowledge of modern data architectures.
• Cloud Experience: Practical experience with Azure, AWS, or GCP.
• Big Data & Distributed Processing: Hands-on experience with Big Data technologies, specifically Apache Spark / PySpark.
• Architecture Advantage: Experience with Delta Lake / Lakehouse architecture (Major advantage).
• Leadership Experience: Proven track record in professional/technical leadership of Data Engineers.
• Project Leadership: Experience leading end-to-end technical projects (Major advantage).
• Consulting/Agency Background: Experience in a consulting firm, project-based company, or multi-client environment (Advantage, but not mandatory).

Work Model : Hybrid

📍 Location: [Petach Tikva / Hybrid]

📩 Sounds like you?Send your CV to [email protected] and mention role number 41642.