Data & AI Educator
Listed on 2026-02-23
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IT/Tech
Data Analyst, AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Does This Sound Like You?
You’re passionate about sharing knowledge and helping the next generation of data professionals in their development and success stories. You are fluent in working across different cloud environments and help others elevate their data & AI skills, from fundamentals to advanced topics such as generative AI and machine learning workflows.
You have a talent for breaking down complexity and turning learning into engaging, hands-on experiences at different levels, and you feel confident creating new learning experiences in Data & AI. You genuinely get excited when things click: when questions turn into understanding, and when you know something you taught is now in production.
The Xebia Data DivisionWe are one of the divisions of Xebia Netherlands, renowned for its expertise in building strong Data & AI practices. We help organizations build strong, future-proof Data & AI practices that create value for both their business and their customers. We do this not only by delivering impactful client work, but also by sharing our expertise—training teams, shaping standards, and raising the bar for how Data & AI is practiced.
Over the years, our team successfully trained thousands of business stakeholders and technical people at large corporations, set up Centers of Excellence for Advanced Analytics, and led multiple data science and engineering teams. We have already enjoyed great success in making the top companies AI-driven!
You’ll work with the sharpest data professionals in Europe, people who are not only technically brilliant but also generous with their knowledge. We enjoy the benefits of being part of a large organization while maintaining the energetic atmosphere of a scale-up. Our commitment to our community is strong; we are deeply rooted in the local landscape.
The Role:What You’ll Be Doing as an Educator
You’ll train professionals from top international companies such as Uber, Intel, Nike, Booking, Lego, Blizzard, Airbus, Adidas, Verizon, Credit Suisse, ING, KLM, Shell, and many more. Your teachings make a difference for the millions who rely on the data products created by these companies!
You’ll design and deliver hands-on trainings across the full Data & AI spectrum, including SQL and Python, applying business use cases in AI to create value, and generative AI. Your strength lies in making complex topics clear and practical, and you’ll apply it to guide learners through large-scale data processing and/or machine learning. It's a big plus if you know your way around tools for data and AI, such as Apache Spark, Google Cloud Platform, and dbt.
You’ll work with learners from diverse backgrounds, including engineers, analysts, data scientists, and business stakeholders. You’ll teach an average 6 to 12 days per month, leading both in-person and virtual sessions
, and continuously develop your own skills through collaboration with our internal community. You’ll contribute to shaping how we educate and deliver training across Xebia Academy
, experimenting with new ideas, improving content, format, and learning experiences, and keeping our Xebia Academy relevant in a fast-moving field.
We understand that practical experience is crucial for effective knowledge sharing, especially on technical topics. That’s why we provide opportunities to work on technical projects once you’ve settled into your role.
What are we looking forYou bring solid practical experience across data and AI topics - such as SQL and Python, data warehousing, data science, and analytics translation - and you’re comfortable working with large-scale data processing and machine learning tools like Apache Spark, Databricks, and modern MLOps practices in the major cloud providers. You don’t need to know everything, but technical hands-on experience is a must.
You’re curious, adaptable and eager to keep learning!
If you have experience teaching or training, that’s a bonus! What really matters is your passion for making complex topics easy to grasp. You like to work independently, but you also know how to collaborate with both our internal team and external technical partners.
You will be traveling for in-person training…
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