Data Engineer
We are looking for a Data Engineering Team Lead to join a retail company in Tel Aviv!
We’re hiring a Data Engineering Team 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.
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.