> Markdown version of [/jobs/ext/4666813-data-engineer](https://www.wearedevelopers.com/jobs/ext/4666813-data-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). --- # Data Engineer - **Company:** PATRIZIA AG - **Location:** Frankfurt am Main, Germany (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Continuous Integration, Data Validation, Data Governance, Data Vault Modeling, Dimensional Modeling, Python (Programming Language), SQL Databases, Agentic-AI, Git, Data Lakes, Pyspark, Core Data, Production Code, Databricks - **Published:** November 11, 2026 - **Apply:** https://www.careerjet.de/jobad/de773372a55a71d31fb18cfc8677923f78 ## About the Role * Several years of experience as a data engineer * Hands-on experience with Databricks (Delta Lake, Unity Catalog, Workflows), ideally with medallion architectures * Sound knowledge of data modelling concepts (e.g. dimensional modelling, Data Vault) * Engineering discipline in Git, CI/CD, testing and documentation * Experience writing and reviewing production code in SQL and Python (PySpark) * Strong interest in AI and the motivation to grow into AI engineering topics * Good business understanding and communication skills; fluent English; German and real estate or financial data experience are a plus ## Description As a highly skilled and hands-on Data Engineer (m/f/d) you will play a key role in our technology team. Your responsibilites * Develop data products and solutions across all layers of the Databricks medallion architecture (raw, cleaned, core and serving layer) * Build and maintain robust, scalable ingestion and transformation pipelines * Model core data structures and serving datasets for reporting, analytics and AI use cases * Implement data quality checks, lineage and data governance (e.g. Unity Catalog) * Integrate structured data and documents into the platform so they can be used by AI agents * Work closely with business functions and AI engineers to turn data needs into reliable data products