Herzog & de Meuron

Herzog & de Meuron is an international architectural practice based in Basel, Switzerland. Established in 1978, the practice is led by the two founders together with the Partners and the CEO. Today, an international team of over 500 collaborators is engaged in a wide range of projects across Europe, the Americas and Asia. The main office in Basel works in tandem with studios in Berlin and Munich, Paris, London, Hong Kong, New York, and San Francisco.

We are looking for a Data Engineer & AI Specialist (100%) to join our Data and Automation team within Digital Practice in Basel, Switzerland.

Your Key Tasks:

  • Design, build, and take ownership of data pipelines, platforms, and integrations from concept through ongoing improvement.
  • Develop robust data models and improve data quality, consistency, and accessibility across the practice.
  • Build API-based connections and apply AI, agents, and MCP where they offer practical value for data processing and automation.
  • Help shape our data maturity roadmap, establish pragmatic standards and governance, and drive their adoption across teams.
  • Evaluate emerging technologies and translate complex requirements into sustainable, maintainable data solutions.

As a Data Engineer & AI Specialist in our Data and Automation team, you will help advance data maturity across Herzog & de Meuron. You will shape how information is structured, connected, and made accessible across projects and business systems, building reliable foundations for analytics, automation, and AI.

Our team works across business systems, project information, design data, and emerging AI applications. You will have the opportunity to take technical ownership, influence standards, and develop practical solutions with colleagues from across an international architectural practice. We welcome fresh perspectives and curiosity beyond the architecture industry.

Your Profile:

  • A degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field, or equivalent practical experience.
  • Professional experience in data engineering, data integration, data platforms, or related technical fields.
  • Experience working with complex data structures and connecting information across systems and disciplines. An architectural background is not required.
  • Strong understanding of SQL, relational databases, data modelling, and the design of complex, reliable data structures.
  • Experience with Microsoft Azure, cloud-based data services, and the design of data pipelines and integrations.
  • Experience with APIs and system integration to connect applications and enable reliable data exchange.
  • Interest in applying AI to data processing, automation, data quality, and accessible information, including emerging approaches such as Model Context Protocol (MCP).
  • Familiarity with Microsoft Fabric, or with architectural tools and data sources such as Revit or Rhino, is an advantage.
  • Strong analytical thinking and the ability to bring clarity and structure to complex information.
  • A practical, curious mindset and the ability to turn ideas into reliable solutions.
  • Ability to collaborate with technical and non-technical colleagues across an interdisciplinary, international practice.
  • Interest in emerging AI technologies and a willingness to explore new approaches critically and hands-on.
  • Fluency in English is required; German is an advantage.

We offer:

  • An international, creative, and challenging work environment.
  • The opportunity to work on high-profile projects around the globe.
  • An outward-facing position working in collaboration with world-class clients and institutions.

We look forward to getting to know you. Your application should include a cover letter, a complete resume, portfolio, diplomas, certificates, and your expected annual gross salary in CHF. Please also indicate your willingness to relocate to Basel, Switzerland, if you are not already based in the area.

All application documents should be submitted in PDF format, not exceeding 10 MB in total, through our online application form on our website, quoting reference number B26-20.

Application Form

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