Senior Consultant, AI Data Engineering – Microsoft Azure

• Design and implement modern data platforms and data engineering solutions, including data pipelines, lakehouse architectures, semantic data models, and data products
• Bridge Data Engineering and AI Engineering, focusing on RAG architectures, Conversational BI, AI-powered data products, and LLM-based applications
• Develop and integrate AI agents and agentic components for pipeline development, data quality, automation, monitoring, and self-service analytics
• Use Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, and dbt to build scalable data and AI solutions
• Design end-to-end architectures across the data lifecycle, from source systems and integration through transformation, governance, quality assurance, and consumption
• Advise clients on technology selection, target architectures, migration strategies, platform modernization, and AI integration into data strategies
• Own workstreams or projects, ensuring pragmatic execution, technical excellence, and measurable business value
• Contribute best practices, reusable assets, technical standards, and innovation initiatives to the Data & AI portfolio

• Proven professional experience in Data Engineering, Cloud Data Platforms, or Data & AI Consulting
• Experience in consulting, delivery, or project-based environments is ideal
• Hands-on experience designing and implementing data pipelines, data models, lakehouse architectures, or cloud data warehouse solutions
• Strong proficiency in SQL and Python or PySpark
• Practical experience with ETL/ELT processes, APIs, data quality frameworks, CI/CD, and Infrastructure as Code (IaC)
• Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI, and Microsoft Power Platform
• Understanding of how modern data platforms enable AI, Generative AI, and advanced analytics solutions
• Practical experience with LLM-based applications, Retrieval-Augmented Generation (RAG), Agentic AI, Azure AI Foundry, MLOps, or LLMOps is highly desirable
• Strong architectural mindset connecting business requirements, data platform capabilities, AI use cases, and operational considerations
• Structured and pragmatic working approach
• Excellent communication and stakeholder management skills
• Fluent German at minimum C1 level
• English language skills
• Willingness to travel to client locations as required

• Individually tailored career development opportunities through the PERSONAL GROWTH MODEL
• Over 200 training days per year through the Academy
• Certification courses
• German language classes
• Coaching & Leading leadership culture
• Flexible mobile and remote working through the Mobile Work Policy
• Tailored vacation days increasing annually based on seniority, up to 30 days
• Flexible working hours
• Private health insurance
• Multi-benefits platform with monthly benefits funds for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions
• Mindfulness training and regular community exchange
• Networking and celebratory events