   # IT runs on Data Engineering

Whether it’s AI, analytics, business intelligence, or process optimization, business and IT efficiency depends on clean and well-governed data.That’s why we make your data work for you, and not the other way around.

## Experts in extracting, storing, and processing data

From large-scale analytics to machine learning and data structuring, we have years of experience. We power **recommendation engines** for streaming services such as **NPO Start** and **Pathé Thuis**.  
We also trained a machine learning model to sort thousands of bolts from aircraft engines for KLM and DZB Leiden. And during the COVID-19 pandemic, we structured complex **GGD contact-tracing data** from extensive questionnaires.

### FAIR data principles underpin all our data work

### Privacy and security are baked in by design

### Our Innovation Lab solves complex data challenges

[Contact](https://dawn.tech/contact) [Over Dawn Technology](https://dawn.tech/over-dawn-technology) 

## Make experiences more personal, smarter, and better with data

What data do you have? What can you collect? How do you bring together information from multiple sources while staying compliant with privacy laws?  
From **real-time data collection** to **relational storage** and **historical analysis**, we make sure everything is structured, reliable, and ready for use.

With analytics, we help you understand how users interact with your app or platform ,enabling personalized, enjoyable, and meaningful digital experiences.By structuring data in a smart way, it becomes the foundation for future business insights and efficiency .

[Contact](https://dawn.tech/contact) 

## Our 4 step approach

[Contact](https://dawn.tech/contact) 

Step 1### Data needs analysis

We assess what data you have and what data you need.

Step 2### Data structure and tooling

We design the right data structures, tools, and storage mechanisms.

Step 3### Data collection (ETL)

We gather data through Extract, Transform, Load (ETL) processes to ensure quality and consistency.

Step 4### Structuring and accessibility

We organize the data and make it accessible for analytics, dashboards, and reporting.

##  The impact of our Data Engineering 

##  A single source of truth for Aeternus’ M&A 

What looks simple is often more complex than it seems. Aeternus Corporate Finance wanted one central hub for all the acquisitions they’ve managed since being founded Not a standard overview, but a visual, scalable database that works both internally and externally. At Dawn Technology, we developed a custom, scalable solution that grows with their business.

[Discover more](https://dawn.tech/en/success-stories/a-solid-deal-database-for-aeternus) 

## Our programming languages

We use Python, R, Power Query, and SQL for our data solutions. This allows us to transform raw data into valuable insights. Whether it's dashboards, forecasts, or data migrations, we build data streams that are accurate and keep flowing.

[Contact](https://dawn.tech/contact) 

### Wil je meer informatie over Data Engineering?

Vul het onderstaande formulier in.

## Direct contact with our experts

We believe in direct contact. That's why we'll immediately connect you with the right expert in your sector.

### Gabor Bos

- <gabor.bos@dawn.tech>
- [+ 31 (0)85 800 3296](tel:+31858003296)
- Expertise: Data Data Engineering

> ### What our colleagues say
> 
> “We build robust data platforms that turn raw data into actionable insights — from data integration and modeling to scalable pipelines. Our data engineers ensure your organization is ready for intelligent solutions like AI, analytics, and automation — with data that’s reliable, secure, and accessible.”

**Jasper Weeteling** Chief Innovation Lab, Dawn Technology 

<a id="vacancies"></a>## Join our Data Engineering team

Want to build technology that works so seamlessly, people hardly notice it?

2 open vacancies

[View our Data Engineering vacancies](https://werkenbijdawn.tech/l/en/) 

2 open vacancies

Mobile iOS Engineer (Swift / SwiftUI) - Remote

Hilversum      Mobile Android Engineer (Kotlin / Jetpack Compose) - Remote

Hilversum       

<a id="faq"></a>## Frequently asked questions

[Contact](https://dawn.tech/contact) 

###   

By making data structured, reliable, and available in real time, we create a strong foundation for dashboards, analytics, and AI-powered insights.

###   

Yes. We advise on the best approach — data warehouse, lake, or lakehouse — and implement it using modern cloud technologies such as Snowflake, Databricks, or Azure Synapse.

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We design modular, event-driven ETL pipelines using tools like Apache Airflow and Azure Data Factory, with continuous performance monitoring.

###   

Absolutely. We review your current architecture and improve efficiency, cost, and reliability.

###   

We work iteratively with regular check-ins, clear expectations, and transparent progress reporting.

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