> Markdown version of [/jobs/ext/4665196-ai-and-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4665196-ai-and-data-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI and Data Platform Engineer - **Company:** PATRIZIA AG - **Location:** Frankfurt am Main, Germany (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Data Infrastructure, DevOps, Github, Identity and Access Management, Salesforce.Com, SAP (Applications), Scripting, Enterprise Software Applications, Large Language Models, Claude Code, Change Data Capture, AI Platforms, Machine Learning Operations, Terraform, Databricks - **Published:** November 11, 2026 - **Apply:** https://www.careerjet.de/jobad/deef00b4245738b1be63873b92adb42a67 ## About the Role As a highly skilled and hands-on AI and Data Platform Engineer (m/f/d) you will play a key role in our technology team., * Several years of experience as a platform, cloud or DevOps engineer in a data environment * Strong Terraform and CI/CD skills (e.g. Azure DevOps, GitHub Actions) * Hands-on experience administering Databricks and Azure (networking, identity, storage) * Experience integrating enterprise systems such as SAP or Salesforce via APIs, connectors or change data capture * Good scripting skills combined with a security-by-design mindset * Interest in AI platform topics and a hands-on, ownership-driven attitude; fluent English, German is a plus ## Description * Technically integrate data sources such as SAP, Salesforce and other enterprise applications into the Databricks data platform * Develop engineering pipelines for deployments and infrastructure as code using Terraform * Build and operate platform foundations: workspaces, environments, Unity Catalog, access management and Azure cloud resources * Provide platform capabilities for AI, such as an API layer, model serving and secure access to LLMs (e.g. Claude API) * Ensure security, monitoring, cost control and regulatory compliance of the platform (e.g. DORA, GDPR) * Take ownership of the platform in-house and define standards, documentation and best practices