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# AI Data Engineer

- **Company:** Post AG
- **Location:** Wien, Austria
- **Experience:** Expert
- **Salary:** €70,000.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Encodings, Databases, Data as a Services, Information Engineering, Data Governance, Data Security, Python (Programming Language), Machine Learning, Search Technologies, Unstructured Data, Enterprise Software Applications, Microsoft Power Automate, Large Language Models, Apache Spark, Generative AI, Microsoft Fabric, Data Lakes, Information Technology, Nintex, Machine Learning Operations, Virtual Agents, Databricks
- **Published:** September 8, 2026
- **Apply:** https://www.it-career.at/application.php?aid=70380

## About the Role

* 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.

## Description

* 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.


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