Dataminded
Dataminded was founded in August 2014 by Kris Peeters, who had previously spent four years as a technology specialist at McKinsey & Company driving ETL and data-platform engagements for global clients. The company is headquartered at Vismarkt 17 in Leuven, with a second office on the Boomgaardstraat in Antwerp, and positions itself as a pragmatic data engineering partner that ships data platforms instead of slideware.
The consulting arm designs, builds, and operates cloud data platforms on AWS, Azure, and GCP, covering big data architectures, MLOps, data science delivery, and increasingly data mesh implementations. Long-running engagements span Telenet, KBC, the Flemish Government, bpost, De Persgroep, Goodyear, and Essent, giving the firm exposure across financial services, telecom, retail, energy, and the public sector. The team is one of Belgium's deeper benches of senior data engineering talent, with around 30 to 40 FTEs visible in financial filings and a partner structure that includes Pascal Knapen as CTO, Maikel Peeters as COO, and senior engineers Stijn De Haes, Niels Claeys, Jonny Daenen, and Jelle De Vleminck.
Dataminded also incubated Conveyor, a managed DataOps and data-product workbench that lets engineering teams develop, deploy, and operate data applications without rebuilding platform plumbing for every customer. Conveyor was launched by Stijn De Haes and Niels Claeys out of repeated Dataminded engagements and now runs as a separate product brand on top of the consulting business. Alongside Conveyor, the company maintains an open-source Data Product Portal for publishing, discovering, and governing data products inside enterprises.
Who works here6
In the media3
Kris Peeters discusses how he founded Dataminded in 2014 after working as an engineer at a management consulting firm where he realized engineers were treated as second-class citizens executing consultant decisions rather than leading projects. He explains that he deliberately built Dataminded as an engineering-first company where engineers are central to decision-making, and he discusses his evolution from hands-on engineering work to gradually delegating operational tasks like performance reviews and billing while maintaining a role talking to clients and prospects about the company.
In this podcast excerpt, Kris Peeters interviews Jonny Daenen about building data-centric organizations. Jonny discusses how organizations should expect value from data through a value chain that progresses from data to applications and products, insights, decisions, and ultimately actions that create real value.
Kris Peeters discusses how data teams need to start with clear business questions rather than technology choices, arguing that without a specific question to answer, teams waste time and money exploring endless possibilities and creating unnecessary complexity. He emphasizes that data's value is often surprising—sometimes use cases that seem impossible become feasible once you understand the data quality, while other seemingly obvious applications turn out to be impractical.