
51 - 200 employees
We deliver 100% data quality with zero manual maintenance for data-driven organizations. 🍒 𝗛𝗼𝘄?➡️ Powered by sharing➡️ Enabled by software solutions ➡️ Supported by research We emerged from the University of St. Gallen in Switzerland and are a proud global pioneer in data sharing with more than 18 years of data management expertise. By automating business partner data management processes, you can avoid the error-prone manual work of creating and maintaining data. We support your business partner master data activities from data assessment, normalization, merging, and quality assurance to fraud prevention, bank account trust scoring, and sanctions checks. 🍒 𝗪𝗵𝘆 𝗰𝗵𝗼𝗼𝘀𝗲 𝗖𝗗𝗤?Leading global enterprises, such as Bayer, Tetra Pak, Nestle, and many more Global Fortune 2000 companies rely on CDQ software solutions to better solve data challenges and benefit from exchange of best practices within the CDQ Data Sharing Community. With CDQ, you access the world of external business partner data (+70 external registers and premium data sources available on our CDQ Cloud Platform) and a gateway to connect to any business application (e.g. SAP MDG) with a set of more than 2500 ready-to-use data quality rules. In partnership with market leaders, we deliver master data automation for intelligent enterprises, offering a seamless integration for accessing accurate business partner information. ➡️ Our solution CDQ First Time Right has been officially endorsed by SAP. ➡️ Gartner’s Magic Quadrant recognized CDQ approach in the Interenterprise MDM category. ➡️ CDQ solutions offer a high level of customization, featuring a rule-based engine and adaptable APIs that you can effortlessly integrate directly into your existing ERP, CRM, and SRP systems. Experience the difference with CDQ and unlock the full potential of your master data management!
🔥 3 minutes ago
🗣️🇩🇪 German Required
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51 - 200 employees
We deliver 100% data quality with zero manual maintenance for data-driven organizations. 🍒 𝗛𝗼𝘄?➡️ Powered by sharing➡️ Enabled by software solutions ➡️ Supported by research We emerged from the University of St. Gallen in Switzerland and are a proud global pioneer in data sharing with more than 18 years of data management expertise. By automating business partner data management processes, you can avoid the error-prone manual work of creating and maintaining data. We support your business partner master data activities from data assessment, normalization, merging, and quality assurance to fraud prevention, bank account trust scoring, and sanctions checks. 🍒 𝗪𝗵𝘆 𝗰𝗵𝗼𝗼𝘀𝗲 𝗖𝗗𝗤?Leading global enterprises, such as Bayer, Tetra Pak, Nestle, and many more Global Fortune 2000 companies rely on CDQ software solutions to better solve data challenges and benefit from exchange of best practices within the CDQ Data Sharing Community. With CDQ, you access the world of external business partner data (+70 external registers and premium data sources available on our CDQ Cloud Platform) and a gateway to connect to any business application (e.g. SAP MDG) with a set of more than 2500 ready-to-use data quality rules. In partnership with market leaders, we deliver master data automation for intelligent enterprises, offering a seamless integration for accessing accurate business partner information. ➡️ Our solution CDQ First Time Right has been officially endorsed by SAP. ➡️ Gartner’s Magic Quadrant recognized CDQ approach in the Interenterprise MDM category. ➡️ CDQ solutions offer a high level of customization, featuring a rule-based engine and adaptable APIs that you can effortlessly integrate directly into your existing ERP, CRM, and SRP systems. Experience the difference with CDQ and unlock the full potential of your master data management!
• 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. • 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 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.
• 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
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