Senior 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 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 look forward to receiving your application! Requirements 7…

Publié 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…

Publié 26 Jul 2026