(Senior) Consultant Data & AI – Data Engineer / Data Scientist (all genders)

$104k - $166k

OTHER

Job description

Your responsibilities

Whether your focus is AI Data Engineering or Data Science, we offer exciting projects from conception through production. You can deepen your expertise in either direction or position yourself at the intersection of both disciplines. Data Engineering: design scalable data platforms, pipelines, lakehouse architectures, and semantic data models for analytics and AI use cases. Cloud and architecture: design end-to-end solutions on modern cloud and AI platforms such as Microsoft Azure, Fabric, Databricks, Snowflake, or comparable technologies. Data and AI solutions: develop and implement modern Data Science, Machine Learning, GenAI, and Agentic AI solutions. AI Engineering: build production LLM, RAG, and Agentic AI solutions and integrate them into existing systems, data platforms, and business processes. Consulting and projects: advise clients, lead projects or workstreams, and turn technical opportunities into sustainable solutions with real business value.

Your profile

Completed degree in Computer Science, business informatics, Data Science, or equivalent qualification. Professional experience consulting in Data Science, Data Engineering, AI Engineering, cloud data platforms, or Data & AI consulting. Experience with Python and SQL and ideally modern platforms/tools such as Azure, AWS, Google Cloud, Azure AI Foundry, Copilot Studio, Databricks, or Snowflake. Depending on your focus, experience with Machine Learning, GenAI, LLMs, RAG, and Agentic AI and/or data pipelines, lakehouse architectures, data models, and data products. Understand the interplay between data, AI, cloud architecture, and business processes. Structured, self-directed, and client-oriented. Fluent German and English and open to traveling to clients.

Your benefits

Your career, your way: Our Personal Growth Model and Coaching & Leading approach provide comprehensive support for long-term development and everyday work. Our Academy offers training and certification courses, including AI upskilling through DataCamp and internal initiatives, plus individual coaching. Our flexible career model and Fluid Company approach let you decide where and how quickly to progress. Career and personal life: We try to offer roles part-time wherever possible. Our Mobile Work Policy lets you work from home or a Swiss office. Mobile Work Abroad allows up to 50 days per year from EU countries, the UK, Norway, Iceland, and Liechtenstein when your client does not require you on site. You receive 25 vacation days, extra days for special family circumstances or a work-related move, and several sabbatical options. Tailored mobility: A fixed monthly budget supports flexible, sustainable travel; for frequent travel, we cover a Half-Fare travelcard, giving up to 50% off train, bus, and boat travel for work or personal use. A values-driven culture: Our values—responsibility, energy, and togetherness—are reflected in volunteer Powerdays, networks such as the Women’s Network, Great Place To Work employee surveys, company events, fitness groups, and corporate benefits. Fair compensation: We offer fair salaries with fixed and performance-based components and regularly benchmark them against the market, including a focus on gender pay equality. You can also become a Wavestone shareholder through our Employee Stock Ownership Plan (ESOP).

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