Lead Azure Data Engineer - Agentic AI Platform
We digitize decisions with data—would you like to get involved?
As Lead Data Platform Engineer, you define the technical vision and strategy for data-driven platforms on Azure. You coordinate multiple projects, develop reference architectures, and ensure governance, compliance, and sustainability. With your expertise, you help ensure that our solutions provide the best foundation for AI and analytics initiatives.
Tasks & Responsibilities:
Development and implementation of the lakehouse strategy: Defining standards, roadmaps, and best practices for Fabric, Delta Lake, mirroring, and Unity Catalog
Cross-project technical management: Harmonizing architectures, managing resources, monitoring quality standards and costs
Evaluating innovative Azure features (LakeFlow, AI-powered pipeline designers, Fabric integrations) for productive use
Conducting risk and compliance assessments; responsibility for data protection, security, and governance
Leading and coaching teams; building a learning-oriented culture
Active participation in pre-sales and strategic consulting; presenting solutions to C-level stakeholders
What we offer you
Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Austria)
State-of-the-art technology stack: Work with Fabric, Delta Lake, Databricks, Mirroring—ideal for tech-savvy juniors
Targeted further training: Working hours for training, certifications, and mentoring
Innovation space: Opportunity to test new tools and frameworks and develop proof-of-concepts
Diversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to us
Leadership influence: You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team
If you want to take on responsibility, enjoy working with the latest Azure technology, and value an open, learning-oriented team culture, we look forward to receiving your application!
