AzureData Engineer II - Agentic AI Platform

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

Requirements

• 2–5 years of experience in data engineering, preferably with Azure Data Services (Data Factory, Databricks, MS Fabric)

• Very good SQL and Python skills; experience with Delta Lake, streaming (Event Hubs, Kafka), and data modeling

• Knowledge of CI/CD and DevOps processes as well as cloud security and governance

• Solution-oriented thinking, strong communication skills, and willingness to learn new things

• Very good German and good English skills