Se­nior AI Da­ta­ En­gi­nee­r - ­Pos­t Busi­nes­s ­So­lu­ti­ons­ Gmb­H (w/m/d)

• Background: 5+ years of experience in data engineering, ideally within regulated industries (finance, public sector, logistics).
• Databricks Expertise: Strong hands-on experience with Databricks, including Delta Lake, Spark, Unity Catalog, workflows, and lakehouse architecture design.
• Machine Learning & MLOps: Proven experience supporting or building ML pipelines, feature stores, and model lifecycle management.
• Generative AI Understanding: Practical exposure to Generative AI concepts (e.g., embeddings, vector databases, RAG architectures) and integrating them into data platforms.
• Genie / Semantic Layer Experience: Experience with Databricks Genie or similar semantic/AI-driven data access solutions is a strong plus.
• Programming Skills: Strong proficiency in Python for data engineering and ML workflows
• Cloud & DevOps: Experience with Azure (preferred), including data services and CI/CD pipelines
• Experience with Microsoft Power Platform and Copilot Studio are a plus.
• Data Governance & Standards: Understanding of data security, governance, and compliance requirements in enterprise environments.
• Education & Certifications: Degree in Computer Science, Data Engineering, or a related field; relevant Databricks or Azure certifications are a plus.
• Languages: Minimum German B1 level for internal collaboration and fluent English skills.

• The next generation of AI-powered data landscape: Combining Databricks, Machine Learning and Generative AI to provide value add services to our customers and internal stakeholders.
• Modern Data Platforms: Design, build, and operate scalable data pipelines and lakehouse architectures on Databricks, enabling efficient ingestion, transformation, and serving of structured and unstructured data.
• AI-Ready Data Foundations: Develop data models and pipelines tailored for Machine Learning and Generative AI use cases, ensuring high data quality, lineage, and governance.
• Genie & Intelligent Data Access: Implement and optimize Databricks Genie and similar semantic/AI-driven data interaction layers to enable intuitive, business-facing access to enterprise data.
• Machine Learning Enablement: Collaborate with data scientists to operationalize ML workflows, including feature engineering, model training pipelines, and MLOps integration.
• Generative AI & RAG Pipelines: Build and support RAG-based architectures, embedding pipelines, and vector search capabilities on Databricks to power next-generation AI-driven services for customers and internal stakeholders.
• Data Engineering Excellence: Ensure high-performing, reliable, and cost-efficient data processing using state of the art technologies and frameworks.
• Work closely with Data Scientists, AI engineers, analysts, and business stakeholders to translate data requirements into scalable technical solutions.

• 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
• 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!

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