We digitize decisions with data—would you like to get involved?
In the role of Senior Azure Data Engineer, you will design the architecture of modern lakehouse platforms and enable self-service data access. You will combine Azure services (OneLake, Fabric, Databricks, Mirroring) to create scalable end-to-end solutions and implement governance, security, and cost optimization strategies. Your work will lay the foundation for successful AI projects.
Tasks & Responsibilities
Architecture of lakehouse platforms with Fabric/OneLake, Synapse, and Delta Lake; introduction of zero-ETL data integration via mirroring
Implementation of Unity Catalog for centralized data management and fine-grained access control, as well as integration with Purview
Building DataOps frameworks: using Delta Live Tables, serverless SQL pools, and automated monitoring tools for performance and cost management
Development of security and compliance concepts; integration of VNet, Private Link, Key Vault, and AD integration
Mentoring of junior engineers, leading code reviews, assisting with architecture decisions
Advising stakeholders on data strategy, technology selection, and business impact
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!
Requirements
Requirements
At least 5 years of experience in setting up and operating Azure data platforms (Data Lake, Databricks, Synapse/Fabric) and in managing projects
In-depth knowledge of data architecture, distributed systems, data modeling, and performance optimization
Experience with infrastructure as code and CI/CD, cost optimization, and DevOps
Strong communication and leadership skills; ability to explain complex concepts to business partners in an understandable way
Fluent German and very good English skills
Highlights
As a Senior Azure Data Engineer - Agentic AI Platform, you will design end-to-end architectures for data platforms. Instead of building individual ETL pipelines, you establish whole platforms.
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