
2 - 10 employees
Founded 2025
🤖 Artificial Intelligence
💼 Consulting
🌍 Social Impact
Artificial Intelligence • Consulting • Social Impact
Team Passerelle is a German-speaking (Swiss) initiative that positions itself around the intersection of artificial intelligence and good work. Their website copy includes slogans such as “Gute KI. Gute Arbeit. ” and “Brücken bauen für Fortschritt & gute Arbeit,” and defines ‘Passerelle’ as a small bridge, suggesting a mission of bridging technology and societal/workforce needs. The team presents itself as “Wir sind das Team Passerelle,” indicating a group or consultancy-style team focused on responsible AI adoption, stakeholder bridging, and promoting positive labor outcomes in the face of AI-driven change.
🕒 July 27
🗣️🇩🇪 German Required
Improve your chances of getting an interview by checking your resume score before you apply.

2 - 10 employees
Founded 2025
🤖 Artificial Intelligence
💼 Consulting
🌍 Social Impact
Artificial Intelligence • Consulting • Social Impact
Team Passerelle is a German-speaking (Swiss) initiative that positions itself around the intersection of artificial intelligence and good work. Their website copy includes slogans such as “Gute KI. Gute Arbeit. ” and “Brücken bauen für Fortschritt & gute Arbeit,” and defines ‘Passerelle’ as a small bridge, suggesting a mission of bridging technology and societal/workforce needs. The team presents itself as “Wir sind das Team Passerelle,” indicating a group or consultancy-style team focused on responsible AI adoption, stakeholder bridging, and promoting positive labor outcomes in the face of AI-driven change.
• Analyze existing data architectures in consulting engagements • Create data maps across heterogeneous data landscapes • Assess the maturity of the digital foundation • Conduct gap analyses for identifiers and metadata • Make unstructured data sources usable for AI systems through text extraction, chunking strategies, and metadata generation • Develop metadata and identifier concepts as well as data models • Develop embedding pipelines • Build and operate the retrieval foundation for RAG applications • Populate and operate vector databases such as Qdrant, Weaviate, or pgvector • Systematically evaluate the quality of the data and retrieval foundation • Coordinate on AI governance, data protection, EU AI Act, and sovereignty requirements • Build and, over time, operate ingest and retrieval pipelines for proprietary software products • Apply a DataOps mindset with versioning, testing, and observability • Work with agentic patterns, including human-in-the-loop approaches • Help shape our technical delivery capabilities as one of the first dedicated engineering hires, working closely with the AI Solutions Architect
• 3+ years of experience in data engineering or as a Data Platform Engineer • Ideally, experience working with established, heterogeneous data landscapes • Excellent knowledge of Python and SQL • Proficiency with the modern data stack, such as dbt, Airflow, and Dagster • Experience with ETL/ELT processes • Hands-on experience with embedding pipelines and vector databases, such as Qdrant, Weaviate, Milvus, or pgvector • A strong understanding of retrieval strategies • Experience making unstructured data usable, using tools such as LlamaParse or Unstructured • Experience handling sensitive and personal data responsibly • Knowledge of relevant requirements, particularly the GDPR, along with awareness of the EU AI Act • Fluent German and English • Independent, solution-oriented working style and values centered on a fairer world of work • Nice to have: experience with knowledge graphs, semantic layers, or text-to-SQL • Nice to have: a strong DataOps mindset • Nice to have: enthusiasm for contributing to proofs of concept
• A working environment that combines technological innovation with social responsibility and sustainable values • Exposure to high-profile engagements involving politics, business, and trade unions • Flat hierarchies, a deliberate absence of micromanagement, and genuine responsibility for your accounts and areas of work • Remote-first setup with a core team in Berlin • Flexible working hours • 30 days of annual leave • Personal professional development budget • State-of-the-art work equipment • Transparent salary range of €80,000 to €95,000 gross per year based on a 40-hour work week
Apply Now🕒 July 27
(Senior) Data & AI Engineer at Tieto Tech Consulting responsible for building scalable data platforms and AI solutions. Collaborating with stakeholders to optimize data-driven workflows and ensure reliability.
🗣️🇩🇪 German Required
AWS
Azure
Cloud
Google Cloud Platform
Python
SQL
🕒 July 27
(Senior) Data & AI Engineer implementing scalable data solutions tailored to business needs at Tieto Tech Consulting. Collaborating with stakeholders and managing data workflows.
🗣️🇩🇪 German Required
AWS
Azure
Cloud
Google Cloud Platform
Python
SQL
🕒 July 25
Python Developer maintaining existing applications and implementing features with AI technologies and Angular for IT-Services in Germany.
🗣️🇩🇪 German Required
Angular
Docker
Kubernetes
OpenShift
Postgres
Python
Ruby on Rails
🕒 July 25
Python Backend Developer contributing to AI-based applications development and maintenance. Working in an Agile environment with a focus on backend services and microservices integration.
Docker
Jenkins
Kubernetes
Microservices
OpenShift
Python
🕒 July 23
Senior Software Engineer in charge of cloud-native platform development for insurance. Leading software architectural design and international collaboration on innovations.
🗣️🇩🇪 German Required
Cloud