Making your people more capable data engineers
Outsourcing or investing in data transformation skills?
When you want to transform data into value, you have 2 options: either you outsource this process to experts, or you attempt to do it yourself. Since technology is ever evolving at enormous speeds, the latter might be hard since you might not have the know-how internally.
At Data Minded, we help you with the value extraction process in both ways: you can use our consultancy services, or improve with our academy services. With the academy, our shared intent is to make you more capable in record time. We offer workshops on key technologies and data challenges that are common in even the best data driven companies
Our experienced teachers
Lead - Data Minded Academy
Oliver has trained many students already, and authored our MOOC on DataCamp. Besides the academy, Oliver leads client engagements for Data Minded.
Senior Data Engineer
Nathan has experience building solutions across three different cloud service providers (AWS, Azure and GCP).
Senior Data Engineer
Jan has deep knowledge of infrastructure automation and ML frameworks.
Jelena is guiding the deployment of machine learning models into production and transforming SQL pipelines into modular, testable components
Hannes De Smet
Hannes has experience building streaming engines on multiple cloud providers and is teaching several courses on Azure.
Senior data engineer
Michiel has a broad perspective on industrializing data pipelines and programming languages.
Making your people more capable data engineers 🚀
The Winter School was a good amount of challenging. A lot of the concepts were still new despite having gone through the material beforehand. I enjoyed all the exercises, and learned a lot.
Winter School 2022 participant
Getting data done
Data Minded is a premium data engineering agency that was founded in 2014. It is our mission to elevate organisations to the next level of data maturity by guiding them to industrialise their data products, modernising their technological data landscape and improving the internal operating model and skills. All of which will make the clients more data minded.