AI Data Engineer

• Modern Data Platforms: Design, build, and operate scalable data pipelines and lakehouse architectures on Azure Databricks (Delta Lake, Unity Catalog) for structured and unstructured data.
• AI-Ready Data & ML Enablement: Develop data models and pipelines for Machine Learning and Generative AI and collaborate with data scientists to operationalize ML workflows.
• Generative AI & RAG: Build RAG-based architectures, embedding pipelines, and vector search on Databricks, including Genie and similar AI-driven data access layers, to power business-facing services.
• Workflow Automation & Orchestration: Automate recurring business processes by connecting enterprise systems (ERP, CRM, production databases) via orchestration tools (n8n, Power Automate, or comparable), embedding AI-driven decision logic where it adds value.
• Intelligent Agents: Design and operate LLM-based components and agentic workflows where automation requires reasoning over unstructured data or documents.
• Process Discovery & Value Delivery: Work with business stakeholders to capture requirements, assess automation potential (effort vs. impact), and prioritize high-impact, cost-efficient use cases.

• Experience: 5+ years in data engineering and workflow automation
• Databricks & Data Engineering: Strong hands-on expertise with Databricks (Delta Lake, Spark, Unity Catalog, workflows, medallion architecture, lakehouse design); Genie experience a plus.
• Workflow Automation: Proven experience automating business processes with orchestration/integration platforms (like n8n, Power Automate, Camunda, RPA or similar BPA platforms), including connecting APIs and enterprise systems.
• ML & Generative AI: Experience building ML pipelines plus practical exposure to embeddings, vector databases, and RAG; agentic frameworks (like LangChain/LangGraph) a plus.
• Technical Skills: Strong Python proficiency; experience with Databricks on Azure (preferred), data services, and CI/CD pipelines; Microsoft Power Platform, Microsoft Fabric and Copilot Studio a plus.
• Mindset & Qualifications: Ability to translate business processes into scalable solutions with a strong grasp of data governance and compliance; degree in Computer Science, Data Engineering, or related field; German B1 minimum and fluent English.

The minimum salary for a full-time position is EUR 70,000 (gross annual salary all-in). However, we are of course willing to provide overpayment based on prior qualifications and experience!

Would you like to work in an innovative, modern unit of the Post? Then apply now! Wir bieten

• A dynamic and innovative work environment
• Opportunities to work on cutting-edge technologies in AI, cloud, and hybrid infrastructure
• Professional development and certification support
• Flexible working hours and hybrid work options
• A collaborative and inclusive team culture
• Discounted holiday offers & various shopping benefits
• Company health promotion & free bank99 employee Account

Experience the best of both worlds: Our business unit, Post Business Solutions, operates as a strong B2B Digital Services Provider within the secure corporate environment of Österreichische Post AG. Post Business Solutions is Austrias leading provider of B2B solutions in the areas of digitization, automation, and outsourcing of business processes in information management. We leverage our position of strength, consistently expand our market position, and also expand into neighboring markets. We pursue a clear mission: We aim to elevate the entire usage and management cycle of our customers information and documents to a completely new level of performance.