Senior Consultant AI Data Engineering - Microsoft Azure

About the role

Wavestone is looking for a Senior Consultant to design and deliver modern data platforms, data engineering solutions and AI‑ready architectures on Microsoft Azure. You will help clients leverage data, deploy AI at scale and integrate data‑driven decision‑making into their business processes.

Key responsibilities

• Design and implement data pipelines, lakehouse architectures, semantic data models and data products for Analytics, AI and GenAI use cases.
• 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 within data engineering environments, supporting pipeline development, data quality, automation, monitoring and self‑service analytics.
• Leverage Azure, Microsoft Fabric, Databricks, Snowflake and dbt to build scalable data and AI solutions.
• Advise clients on technology selection, target architectures, migration strategies and AI integration.
• Own workstreams or projects, ensuring pragmatic execution, technical excellence and measurable business value.

Required profile

• Proven experience in Data Engineering, Cloud Data Platforms or Data & AI Consulting, preferably in a consulting or project‑based environment.
• Strong architectural mindset linking business requirements, data platform capabilities and AI use cases.
• Excellent communication and stakeholder management skills, fluent in German (C1) and English.

Required skills

• SQL and Python or PySpark, with hands‑on ETL/ELT, APIs, data‑quality frameworks, CI/CD and IaC.
• Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI and Microsoft Power Platform.
• Experience with LLM‑based applications, Retrieval‑Augmented Generation (RAG), Agentic AI, Azure AI Foundry, MLOps or LLMOps (highly desirable).

What we offer

• Personal growth model with tailored development opportunities.
• 200+ training days per year, certification courses and German language classes.
• Flexible mobile working policy and hybrid office spaces.
• Increasing vacation days up to 30 per year, flexible working hours.
• Private health insurance and a multi‑benefits platform (meal tickets, cultural vouchers, sports subscriptions, etc.).
• Mindfulness community, networking events and a coaching‑oriented leadership culture.