Senior AI Data Engineer - Post Business Solutions GmbH (w/m/d)
Indexed description
What We Can Offer You
- 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
- 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.
Would you like to work in an innovative, modern unit of the Post? Then apply now!
I look forward to receiving your application.
Your recruiter Christian
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