Lead Azure Data Engineer - Agentic AI Platform

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 Germany) 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…

Posted 26 Jul 2026

We digitize decisions with data—would you like to get involved? We shape our customers' data-driven future with scalable, secure, and automated Azure platforms. As a Professional Data Platform Engineer, you will be responsible for complex data pipelines: from zero-ETL replication of operational data (mirroring) to Delta Lake-based lakehouses. Our vision: self-service data access for all departments, supported by DataOps and governance. Tasks & Responsibilities: Planning, development, and maintenance of robust batch and streaming pipelines with Azure Data Factory, MS Fabric and Databricks Integration of new Azure features such as mirroring (zero ETL), Delta Live Tables, and Unity Catalog for centralized governance Automation of deployments and testing using CI/CD (Azure DevOps or GitHub Actions) and infrastructure as code (Bicep/Terraform) Ensuring data quality, lineage, and security—using Microsoft Purview and role-based access control Collaborating with data scientists, product owners, and customers to translate requirements into scalable data solutions Evaluating new services such as Lakeflow or Microsoft Fabric for productive use What we offer you Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Germany) 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 Real influence: You can help shape technology decisions and contribute your ideas directly to product roadmaps 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! Requiremen…

Posted 26 Jul 2026