Description
Too much data, not enough insight?
We get it. At KNIME, we build software that helps people clean, combine, and understand their data—fast, efficiently, and without code.
And with our focus on Data Analytics & AI, we empower everyone to turn complex challenges into clear, actionable insights.
You can help make that happen.
We’re not just an open-source data analytics company, we’re a fast-growing, globally recognized pioneer at the intersection of data and AI, with users across industries, an international team from 30+ nationalities, and a thriving open community.
As a Working Student in our QA team (part-time), you’ll support our teams in data-related and quality-focused tasks, while gaining hands-on experience in a real-world software and AI environment.
Who you are
Study background: You are currently enrolled in a degree program in Data Science, Data Engineering, Computer Science, or a related field, and you want to apply what you learn in practice.
Technical foundation: You have basic knowledge of data processing and transformation and are curious about how data flows through systems end to end.
Interest in AI & quality: You are familiar with, or motivated to learn more about, Agentic AI concepts and software QA processes, and why they matter for reliable products.
Language skills: You are fluent in English, as this is our primary working language.
Reliable and structured: You work carefully, keep track of open topics, and follow through, especially important when dealing with data and quality checks.
That's the job
Data preparation & validation: Support data processing, transformation, and validation tasks to ensure datasets are consistent and usable.
AI & QA support: Assist with testing and quality assurance activities related to data workflows and AI-driven features.
Process understanding: Help document and improve data and QA processes, focusing on why things are done a certain way.
Collaboration: Work closely with different teams, coordinate inputs, and follow up on open items when needed.
Learning by doing: Gradually take on more responsibility as you gain context and confidence.
What we offer
Hands-on experience: Work on real data, real systems, and real AI use cases in a growing, international software company.
Clear framework: This is a
part-time student position for at least 6 months.- Up to 20 hours per week during the semester
- Up to 40 hours per week during semester breaks
Learning with support: You’ll work closely with experienced KNIMErs who are happy to share knowledge and context.
Flexibility: Working hours that fit around your studies.
About us
KNIME is a fast-growing international Enterprise Software company. At KNIME, we build innovative software to help individuals and organizations make sense of their data through an intuitive, visual approach to data analytics and through integrations to the most advanced data science and AI/ML techniques on the market. KNIME Software comprises two products: the free and open KNIME Analytics Platform which has an intuitive low-code, no-code interface that allows anyone from spreadsheet users to seasoned data scientists to analyze their data; and KNIME Business Hub, its commercial complement that allows for large-scale collaboration and dissemination of insights across an enterprise.
At the core, we are an open-source company, which requires KNIMErs often to challenge and rethink conventional commercial strategies and ensure that the user – whether free or commercial – is at the center of every decision being made. At KNIME, you’ll gain experience working with industry leaders in their field – KNIME is used by many Fortune 500 enterprise customers, across 60 countries.
*Though we are happy to have applicants from further away, we’re not offering relocation benefits for this position.
KNIME is an equal opportunity employer. We’re all about providing opportunities for different perspectives to come together, where everyone feels included no matter their background.
