Data Engineering Tech Lead

We’re hiring a Data Engineering Tech Lead to lead and scale our Azure-based data platform while managing a team of 5 data engineers in an Agile environment.
This role combines hands-on development (~50%) with technical leadership. You will own a modern data platform built on Azure (Synapse, Data Factory) and support enterprise BI solutions based on Qlik (QlikView, Qlik Sense, NPrinting) – ensuring reliable, scalable, and business-ready data across the organization.

📍Tel Aviv

What You’ll Do:

• Lead, mentor, and grow a team of 5 data engineers in an Agile (Scrum/Kanban) environment

• Own the architecture of an Azure-based data platform (Synapse, Data Factory)

• Design and build ETL/ELT pipelines using Azure Data Factory
• Manage Agile ceremonies (sprint planning, standups, retrospectives) and delivery cadence
• Define and prioritize backlog in collaboration with stakeholders
• Develop and optimize data models and pipelines serving Qlik (QV, QS) environments
• Ensure high data quality and consistency for BI consumption (including NPrinting outputs)
• Drive best practices: CI/CD, monitoring, testing, and cost optimization in Azure
• Collaborate closely with developers and business stakeholders

You Bring:

• 7+ years of experience in data engineering

• 2+ years of leadership / tech lead experience in Agile teams

• Strong hands-on experience with: Azure Synapse Analytics, Azure Data Factory (ADF)

• Proven experience working in Agile methodologies (Scrum / Kanban)

• Deep SQL expertise and experience in data modeling for BI tools

• Proven experience supporting Qlik environments (QlikView / Qlik Sense)

• Experience designing scalable cloud-based data architectures on Azure