Are you passionate about shaping the future of data management with GenAI and Agentic AI in enterprises? In this position, you will conduct cutting-edge research in data management, working closely with Fortune 500 companies. 
 
You will be working in the Competence Center Corporate Data Quality (CC CDQ), a leading European research consortium and expert community in the field of data management, while conducting your PhD at TU Braunschweig. As member of the CC CDQ research team, you will play a key role in driving the co-innovation activities around the following topics: 

• Generative AI and Agentic AI for data management
• Data and AI Governance 

• review the current state of research and practice, analyze challenges in multinational firms as well as emerging technologies and trends.
• develop innovative concepts, methods, and tools for data management.
• engage with practitioners within the CC CDQ community to present, discuss and evaluate your research findings, ensuring they have real-world impact. 
• contribute to the academic field of information systems by publishing articles in top-tier journals and presenting at prestigious international conferences.
• support teaching activities, including supervising projects and Master theses.

• a passion for and demonstrated experience in data and AI, especially in fields such as Generative AI, agentic AI, and data and AI governance.
• strong interest in exploring challenges and opportunities in multinational firms.  
• a Master’s degree in Information Systems, Data Science, Industrial Engineering, or Management, or a related field. 
• professional experience and/or internships in relevant areas.
• excellent analytical and communication skills.
• good writing skills and fluency in English.  

If you are interested in this position, please contact Prof. Christine Legner (christine.legner@unil.ch), Prof. Frederik Moeller (Frederik.Moeller@tu-braunschweig.de) and Dr. Richard Lehmann (Richard.lehmann@cdq.com) with your CV and transcripts.

Wir sind CDQ, das führende Softwareunternehmen für Data Quality as a Service #DQaaS und ein wachsenden SaaS-Unternehmen mit spannenden Investoren. Wir glauben daran, dass jedes Unternehmen mit hoher Datenqualität seine volle Leistungsfähigkeit besser ausschöpfen kann - und dafür brauchen wir Dich!
Ob in Deutschland, Österreich, der Schweiz oder einem anderen Land, unsere Mitarbeiter sind über viele europäische Länder verteilt. Trotz unseres Home Office Konzepts bietet unser "virtuelles Unternehmen" ein stark vernetztes Arbeitsumfeld mit tollen Kollegen und einem starken Teamgeist. Wir pflegen einen intensiven Austausch, unterstützen uns gegenseitig und sind so gemeinsam erfolgreich. Unser Team zeichnet sich durch Hilfsbereitschaft, Professionalität und eine offene Unternehmenskultur aus. Unsere Werte – Ambition, Growth, Respect, Sharing und Focus – prägen unser tägliches Handeln und unsere Zusammenarbeit. Darüber hinaus bieten wir einen unbefristeten Arbeitsvertrag, modernste Arbeitsmittel und tolle Teammeetings! Der SDR ist die Brücke zwischen Marketing und Sales. Du identifizierst und qualifizierst Leads, baust erste Beziehungen auf und sorgst dafür, dass unsere Vertriebsmitarbeiter nur mit den vielversprechendsten Kontakten arbeiten. Damit trägst du maßgeblich dazu bei, unsere Wachstumsziele zu erreichen und unsere komplexen Softwarelösungen erfolgreich am Markt zu positionieren. Durch Recherche und state-of-the-art Technologien knüpfen wir neue Kontakte und generieren Leads. In spannenden Erstgesprächen mit potenziellen Neukunden demonstrieren wir als Experten erste Lösungsansätze und zeigen die Business Values unserer innovativen Technologie.
Du verfügst über ausgezeichnete Kommunikationsfähigkeiten und eine hohe Arbeitsmoral? Dein Track Record im Vertrieb kann sich sehen lassen? Du würdest dich als selbstmotivierte Person mit großer Passion für Sales beschreiben? Dann bist du hier richtig!

• Lead-Generierung: Du recherchierst neue Geschäftsfelder, identifizierst potenzielle Firmen und passende Kontakte durch Kaltakquise, E-Mail-Kampagnen und Social Media
• Lead-Qualifizierung: Du bewertest Leads und qualifizierst diese vor, um den Verkaufsprozess effizient zu gestalten
• Terminvereinbarung: Als erster Ansprechpartner für potenzielle Kunden baust du Beziehungen auf und vereinbarst Termine für Produktdemos
• Erste Kundenberatung: Du identifizierst die Kundenanforderungen und Bedürfnisse, gleicht sie mit dem Leistungs- und Service-Portfolio ab und formulierst Nutzenargumentationen für den Kunden
• Datenpflege: Du verwaltest die Leads in unserem CRM in der Vertriebspipeline, vereinbarst Termine, organisierst die Nachverfolgung dieser und trackst den Fortschritt der Vertriebszielerreichung
• Teamarbeit: Du arbeitest mit dem Vertriebsteam zusammen an der Entwicklung von Strategien zur Erreichung der Salesziele

Erfahrung im B2B-Vertrieb: 

• Deine technische Affinität und dein unternehmerisches Denken machen dich zur kompetenten Ansprechperson.
• Abgerundet von einem hohen Energielevel und Eigeninitiative entwickelst du dich zum Motor für unser Sales-Team
• Der Umgang mit Systemen im Bereich CRM, Sales Intelligence, Marketing Automation ist für dich selbstverständlich
• Du konntest bereits Berufserfahrung als Sales Development Representative, Sales Account Executive oder in einer vergleichbaren Rolle mit, idealerweise im SaaS- oder Softwarebereich, vorzugsweise mit komplexen Produkten sammeln
• Du hast praktische Erfahrung mit verschiedenen Verkaufstechniken wie Kaltakquise, E-Mail-Akquise und Social Outreach 

Kommunikationsstärke: 

• Du liebst es mit Kunden in Kontakt zu treten, bist jetzt bereit Verantwortung zu übernehmen und Leads mit deiner Begeisterung anzustecken
• Du bist vertraut im Umgang mit anspruchsvollen B2B-Kunden und hast Spaß daran, diese zu begeistern und zu gewinnen
• Du verfügst über ausgezeichnete Kommunikationsfähigkeiten in Deutsch und Englisch

Proaktive Arbeitsweise:

• Du bringst Eigeninitiative, Zielorientierung und Motivation mit, um in einem virtuellen Umfeld erfolgreich zu sein
• Dein aktuelles Umfeld würde dein Arbeitsweise als offen, respektvoll und kooperativ beschreiben
• Du schätzt die Vorteile einer virtuellen Organisation, in der alle Mitarbeiter von zu Hause aus arbeiten, denn du wirst ~80% Deiner Aufgaben im Home Office erledigen

• GREAT TEAM: ein aufgeschlossenes und freundliches Team mit agilen Methoden - as proven by our glassdoor score of 4,6
• WORK FROM ANYWHERE - 100% Remote Company - Virtuelles Setup (Vollzeit-Remote) mit regelmäßigen physischen Team-Events 
• GROW WITH US: Vielfältige persönliche Entwicklungsmöglichkeiten
• GREAT PLACE TO WORK: Betriebliche Altersvorsorge, Unfallversicherung und länderspezifische, steueroptimierte Employee Benefits

We are CDQ, the leading software company for Data Quality as a Service #DQaaS and a growing SaaS company with exciting investors. We believe that every company can unlock its full potential with high data quality – and for that, we need you! Whether in Germany, Austria, Switzerland, Poland, or another country – our employees are distributed across many European countries. Despite our home office concept, our "virtual company" offers a highly connected working environment with great colleagues and a strong team spirit. We maintain an intensive exchange, support each other, and succeed together. On top of that, we offer a permanent employment contract, state-of-the-art equipment, and great team meetings! This role combines two worlds: you architect solutions with and for our customers – and you build. You are the technical driving force of our customer enablement team, working closely with Customer Success: the colleague others turn to when a concept needs to be turned into a running system.
A key focus is hands-on data work: analyzing, cleansing, monitoring, and enriching business partner data for our customers – leveraging AI, our software services, and tools such as our internal automation workbench. You work with our existing prototypes and build your own – not to develop production software (that is what our engineering teams do), but to solve a concrete problem in a project or to demonstrate a solution to a customer: fast, with Python and AI tools such as Claude. In the long run, these capabilities will converge into our AI-based digital data steward for cleansing and monitoring data – and you shape that path.
At the same time, you work close to our customers – Fortune 500 companies in our Data Sharing Community. You deliver integration projects, and you work in forward-deployed project setups that introduce our AI-based digital data steward directly in customer environments: you analyze, you conceptualize, you convince, and you make it work.

• You deliver integration projects at customers: you understand our technical interfaces (webservices, REST APIs) in depth, design how they integrate into customer ERP, CRM, and MDM landscapes (e.g. SAP S/4, SAP MDG, Salesforce), and support the implementation hands-on.
• You work in forward-deployed project setups that introduce our AI-based digital data steward at customers: you analyze the customer's data and processes, develop the target concept, and communicate it convincingly to business and technical stakeholders.
• You work with our prototypes and create your own – not as a software developer, but to convince customers in project setups: using and extending our internal workbench with Python and AI tools such as Claude, you make the value of our solutions tangible fast.
• You perform data analyses and cleansing projects yourself: leveraging AI, our software services, the workbench, and your own prototypical extensions, you analyze, cleanse, monitor, and enrich customer data end-to-end.
• You align continuously with our Product Owners and Product Managers: you channel field experience and customer requirements into the roadmap and validate new capabilities in practice.
• You support our customers with technical questions and back our pre-sales activities: value argumentation, technical expertise, and initial data analyses – for example with our workbench.
• You share your knowledge actively in the team: you establish good practices, enable colleagues such as Business Analysts and junior architects, and act as a technical sparring partner.

• You bring experience with web/cloud technologies and SaaS – whether from several years of professional practice or as a recent graduate (Master level) with strong hands-on projects – and a solid understanding of webservices and APIs (REST, SOAP): solid enough to explain them to customers and to design integrations with them.
• You combine strong analytical, conceptual, and communication skills: you structure unclear problems, translate customer requirements into solution designs, and present your conclusions convincingly to business and technical stakeholders.
• You are proficient in Python and use AI tools (e.g. Claude, Copilot, LLM APIs) to prototype and build solutions – not just to answer questions.
• You are excited by the vision of an AI-based digital data steward and want to shape how AI agents change data management at large enterprises.
• You know your way around data: data quality, data management, or master data topics are familiar territory; experience with SAP S/4, SAP MDG, or Salesforce is a plus.
• You enjoy sharing knowledge and enabling colleagues – and you have the potential to take on more responsibility as the team grows.
• You have excellent communication skills in English; German is a strong plus.
• You appreciate the advantages of a decentralized organization where everyone works from home. You will handle 90%+ of your tasks from your home office.

• GREAT TEAM: an open-minded and friendly team with agile methods – as proven by our Glassdoor score of 4.6
• WORK FROM ANYWHERE: virtual setup (full-time remote) with regular physical team events
• GROW WITH US: diverse personal development opportunities
• GREAT PLACE TO WORK: company pension scheme, accident insurance, and country-specific, tax-optimized employee benefits

We are looking for an experienced Java Developer with strong technical skills and a passion for creating high-quality, clean, and maintainable code. The ideal candidate has at least 5 years of professional experience and a solid background in backend development using modern Java technologies. 
The perfect fit is a team-oriented person who values collaboration, knowledge sharing, and collective problem-solving. A genuine interest in data and databases is highly appreciated. We are looking for an experienced Java Developer with strong technical skills and a passion for creating high-quality, clean, and maintainable code. The ideal candidate has at least 5 years of professional experience and a solid background in backend development using modern Java technologies. 
The perfect fit is a team-oriented person who values collaboration, knowledge sharing, and collective problem-solving. A genuine interest in data and databases is highly appreciated.

• Designing and implementing AI agents with reasoning pipelines (e.g., multi-step workflows, RAG-based decision making)
• Integrating AI capabilities suchas LLM - powered services, semantic search, and intelligent automation
• Contributing to scalable architectures for data- and event-driven systems
• Improving, refactoring, and maintaining existing code bases
• Designing tasks in collaboration with theTeam Lead andProductOwner
• Participatingin codereviews,architecturediscussions, andknowledgesharing
• Contributed to the design of scalable architectures for data-heavy and AI-drivenservices
• Collaborate closely with theTeam Lead and ProductOwner to design tasks and shape the technical solution
• Participate in codereviews, architecture discussions, and knowledge-sharing sessions

Java 
Spring Boot
Docker 
AI-related: 

• Spring AI
• Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.)
• Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch vector search, or similar)
• AWS Bedrock
• LangChain4j
• Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG)
• Understanding Model Context Protocol

• Polish – C1 (required) / English – C1/B2+ (required)

Redis 
Mongo DB 

AI-related:

• Experience with AI/ML frameworks or orchestration libraries (LangChain4j, Spring AI, Embabel, Haystack, etc.)
• Familiarity with LLM model lifecycle: prompt design, evaluation, latency considerations, cost/performance trade-offs
• Experience with Ollama / vLLM
• Experience with streaming architectures for AI pipelines (i.e. Kafka Streams)
• Experience with document processing, OCR, or semantic search

We are looking for an experienced Java Developer with strong technical skills and a passion for creating high-quality, clean, and maintainable code. The ideal candidate has at least 3 years of professional experience and a solid background in backend development using modern Java technologies. 
The perfect fit is a team-oriented person who values collaboration, knowledge sharing, and collective problem-solving. A genuine interest in data and databases is highly appreciated. We are looking for an experienced Java Developer with strong technical skills and a passion for creating high-quality, clean, and maintainable code. The ideal candidate has at least 3 years of professional experience and a solid background in backend development using modern Java technologies. 
The perfect fit is a team-oriented person who values collaboration, knowledge sharing, and collective problem-solving. A genuine interest in data and databases is highly appreciated.

• Designing and implementing AI agents with reasoning pipelines (e.g., multi-step workflows, RAG-based decision making)
• Integrating AI capabilities suchas LLM - powered services, semantic search, and intelligent automation
• Contributing to scalable architectures for data- and event-driven systems
• Improving, refactoring, and maintaining existing code bases
• Designing tasks in collaboration with theTeam Lead andProductOwner
• Participatingin codereviews,architecturediscussions, andknowledgesharing
• Contributed to the design of scalable architectures for data-heavy and AI-drivenservices
• Collaborate closely with theTeam Lead and ProductOwner to design tasks and shape the technical solution
• Participate in codereviews, architecture discussions, and knowledge-sharing sessions

Java 
Spring Boot
Docker 
AI-related: 

• Spring AI
• Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.)
• Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch vector search, or similar)
• AWS Bedrock
• LangChain4j
• Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG)
• Understanding Model Context Protocol

• Polish – C1 (required) / English – C1/B2+ (required)

Redis 
Mongo DB 

AI-related:

• Experience with AI/ML frameworks or orchestration libraries (LangChain4j, Spring AI, Embabel, Haystack, etc.)
• Familiarity with LLM model lifecycle: prompt design, evaluation, latency considerations, cost/performance trade-offs
• Experience with Ollama / vLLM
• Experience with streaming architectures for AI pipelines (i.e. Kafka Streams)
• Experience with document processing, OCR, or semantic search