Senior Consultant AI Data Engineering - Microsoft Azure (all genders)

We design and deliver modern data platforms, data engineering solutions, and AI-ready architectures. Our work enables clients to reliably leverage data, deploy AI solutions at scale, and integrate data-driven decision-making into their business processes.

• Design and implement modern data platforms and data engineering solutions, ranging from data pipelines and lakehouse architectures to semantic data models and data products supporting Analytics, AI, and GenAI use cases
• Bridge Data Engineering and AI Engineering disciplines, with a particular focus on RAG architectures, Conversational BI, AI-powered data products, and LLM-based applications
• Develop and integrate AI agents and agentic components within data engineering environments, supporting areas such as pipeline development, data quality, automation, monitoring, and self-service analytics
• Leverage modern cloud and data platforms such as Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, and dbt to build scalable data and AI solutions
• Design end-to-end architectures covering the entire data lifecycle, from source systems and integration to transformation, governance, quality assurance, and consumption through AI, BI, and business applications
• Advise clients on technology selection, target architectures, migration strategies, platform modernization, and the integration of AI into their overall data strategy
• Take ownership of workstreams or projects, ensuring pragmatic execution, technical excellence, and measurable business value for clients
• Contribute to the continuous development of our Data & AI portfolio by establishing best practices, reusable assets, technical standards, and innovation initiatives in AI Data Engineering

• Proven professional experience in Data Engineering, Cloud Data Platforms, or Data & AI Consulting, ideally within a consulting, delivery, or project-based environment
• 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, with practical experience in ETL/ELT processes, APIs, data quality frameworks, CI/CD, and Infrastructure as Code (IaC)
• Experience with modern platforms and technologies such as Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI, and the Microsoft Power Platform
• Solid 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 with the ability to connect business requirements, data platform capabilities, AI use cases, and operational considerations
• Structured and pragmatic way of working, combined with excellent communication and stakeholder management skills
• Fluent German (minimum C1 level) and English language skills; willingness to travel to client locations as required

• Career model: For us, a career that is individually tailored to your needs means individual development opportunities in line with your vision and at your pace. Our PERSONAL GROWTH MODEL supports you in this, whether as an expert or entrepreneur
• Continuing education: Let's grow together! Stay up to date with over 200 training days per year in our Academy, or continue your education through certification courses
• German classes: We encourage you to learn a new language, as it will be useful for you in your career development
• Leadership culture: Respect, appreciation, and the highest level of expertise are the key elements of our "Coaching & Leading" leadership model. This means that your individual goals and Wavestone corporate goals are perfectly aligned
• Mobile Work: Flexible, mobile working is part of our DNA. With our Mobile Work Policy, we offer you the right framework to work remotely. Plus, via our offices, we offer attractive contact points for personal exchange
• Me-Time: We provide tailored vacation days, that will be increased every year (max. 30 days) based on your seniority within the company, as well as flexible working hours. Because life next to Wavestone also counts for us
• Private Health Insurance: You are important to us; such is your health. We provide you with the appropriate framework that covers the essential health benefits needed to maintain your health
• Multi-benefits Platform: As flexibility is in our DNA, it also translates into our benefits. You have the option to decide how to spend funds allocated for monthly benefits depending on your needs (meal tickets, gift vouchers, cultural vouchers, holiday vouchers and even subscriptions to sports clubs)
• Mindfulness & Health: The Mindfulness Community offers mindfulness training and regular exchange
• Events: Numerous events for networking and celebrating are simply part of our Wavestone life

Microsoft Azure | Data Architecture | AI Data Engineering | Data Warehouse | Business Intelligence (BI) | AI