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.
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
Requirements: 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
This position is open to all candidates.