Data Engineering Jobs in Netherlands
There are 1,844 open Data Engineering jobs in Netherlands on freehire right now. 509 of them were posted recently. The skills employers ask for most often are python, azure and sql.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | month | €5,800 | €6,500 | €7,000 | 148 |
| EUR | year | €82,500 | €87,500 | €100,100 | 33 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- python 50%
- azure 46%
- sql 45%
- cloud 39%
- data-pipelines 33%
- data-engineering 31%
- ai 30%
- databricks 30%
How the work is done
- Hybrid 185 · 10%
- Remote 35 · 2%
- Onsite 7 · 0%
Visa sponsorship offered in 35% of the 69 postings that state a position on it.
Seniority
- Senior 582
- Lead 124
- Junior 24
- Principal 19
- Staff 12
- Intern 6
Who is hiring
- 1000+ employees 165
- 501-1000 employees 165
- 51-200 employees 158
- 11-50 employees 38
- 201-500 employees 16
- 1-10 employees 2
Data Engineer
Build and maintain a Databricks-based data platform on Azure, migrating legacy systems and developing PySpark/Airflow pipelines for reliable, scalable financial data pipelines.
Data Engineer
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
Data Engineer
Build and maintain ETL pipelines, PostgreSQL databases, and data integrations in Python for a real-estate advisory firm, using Azure, FastAPI, and Power BI.
Data Engineer
Build and maintain a cloud data platform using Databricks, Microsoft Fabric, and Power BI to create trusted, scalable data products for analytics, reporting, and future AI use cases.
Data Engineer
Build and maintain scalable data pipelines on Azure using PySpark and Synapse to integrate and process data for consumer-focused comparison platforms.
Data Engineer
Design and build data pipelines and AI infrastructure for clients, advising on best practices and implementing scalable solutions to drive data-driven transformations.
Data Engineer
Build and maintain cloud-based data infrastructure for clients, designing scalable pipelines with tools like Spark, Airflow, and Terraform to enable AI-driven solutions.
Data Engineer
Builds and optimizes data pipelines for AI products and customer solutions, focusing on scalability, data quality, and security while collaborating with cross-functional teams.
Data engineer
Build and maintain scalable data platforms in Azure, design ETL pipelines, and integrate data sources to enable data-driven decision-making for clients.
Data Engineer
Build and maintain ELT pipelines that turn raw clickstream and usage data into clean, documented datasets for UX research and BI analysis in healthcare software.
Data Engineer
Build and maintain cloud-based data pipelines on AWS/Azure, migrate systems to the cloud, and design ETL processes for analytics and operations.
Data Engineer
Build and maintain ELT pipelines that turn raw clickstream and usage data into clean, documented datasets for UX research and BI analysis in healthcare software.
Data Engineer
Freelance Data Engineer building scalable data pipelines and analytics solutions in Azure for Finance and HR teams using Azure Data Factory, SQL, and Microsoft Fabric.
Data Engineer
Build and shape a new Microsoft Fabric-based data platform from the ground up, designing pipelines, modeling data, and ensuring reliable analytics for RAI Amsterdam.
Data Engineer
Build and maintain scalable ETL pipelines and cloud data infrastructure to ensure reliable, high-quality data flows for analytics and decision-making.
Data Engineer
Build and maintain data pipelines and platforms on Azure to deliver reliable, high-value data products for infrastructure projects, enabling smarter and sustainable construction management.
Data Engineer
Build and maintain PowerShell and Python automation scripts for Azure DevOps CI/CD pipelines, ARM templates, and API integrations in an Agile DevOps environment.
Data Engineer
Build and maintain scalable data pipelines and models to power reporting, analytics, and AI initiatives for a financial-services group.