Your organization is growing. You've accumulated data across different systems and you want to become more data-driven. The natural instinct? Hire a data engineer. But at €100K per year, is that really the best investment?

We don't think so. Data engineers lay the foundation, but they don't directly add business value. It's your data analysts who turn data into insights and drive decisions. Why not invest in them instead?

Mark Your Data Platform is a cloud-native data platform that provides everything your analysts need. We handle the infrastructure, pipelines, and data models, so your analysts can start adding value from day one.

Already have a data engineer? See how you can still save €30K+ per year →

Save up to €100K per year

A traditional data setup with a data engineer costs around €215K per year. With our Mark Your Data Platform, you skip the data engineer and the expensive tools, saving up to €100K annually.

❌ Traditional approach €215K/year

€100,000*/year - Senior Data Engineer

€35,000*/year - Modern Data Stack

€80,000*/year - Data Analyst

~€215K per year

* indicative prices

✅ Mark Your Data Platform

€0 - No data engineer needed

€35,000* - Mark Your Data Platform

€80,000*/year - Data Analyst

~€115K per year

Save up to €100K+ annually!

* indicative prices

Bottom line: Invest in data analysts who drive business value, not in expensive infrastructure that just moves data around.

Our lightweight architecture

We use battle-tested open-source tools wrapped in a scalable, cost-efficient infrastructure.

Mark Your Data analytics platform architecture diagram showing DLT, DBT, and GCP Cloud Run workflow

Key components

Why this approach wins

💰 cost-efficient

Pay only for compute time used. No expensive per-connector or per-row pricing.

🔧 fully customizable

Open-source tools mean no vendor lock-in. Extend and modify as needed.

📝 version controlled

Every pipeline is code. Track changes, review with your team, roll back when needed.

🤖 ai-assisted maintenance

Because everything is code, tools like Claude can help you maintain and extend your platform.

Our platform services

Our Data Analytics & AI Platform roughly exist of four parts. Learn more about them below. Combined, they help you multiply the effectiveness of your data professionals. Make more, better and faster decisions by combining disconnected data sources.

Foundation

Data infrastructure

Build a solid foundation for data-driven success. Design and implement scalable data infrastructure that supports your current needs and future growth.

Key benefits:

  • Cloud-based modern data stack
  • Scalable architecture design
  • Security and governance frameworks
Learn More →
Automation

Data pipelines

Automate data movement from source to insight. Develop and maintain robust data pipelines that efficiently move data from source to destination.

Key benefits:

  • Automated data ingestion
  • Real-time or batch processing
  • Data quality checks and monitoring
Learn More →
Structure

Data models

Transform raw data into business insights. Design and implement data models that make your data accessible, understandable, and ready for analysis.

Key benefits:

  • Business-friendly data structures
  • Optimized for query performance
  • Single source of truth
Learn More →
Intelligence

Applied ai

Deploy AI solutions that drive business value. Develop and deploy AI solutions built on your data platform, from predictive models to generative AI applications.

Note: Assumes data infrastructure, pipelines, and models are already in place.

Key benefits:

  • Custom AI/ML models
  • GenAI applications and chatbots
  • Model monitoring and deployment
Learn More →

Reference projects

Every now and then a project comes along that makes you just that little extra proud. We are result driven and eager to learn. It's no surprise that these projects usually made a big impact, and tought us something new. This is what keeps us going. Read about some of these projects here.