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 Bank
Build and maintain ETL pipelines and data models in SQL Server to support regulatory reporting and fraud detection for a Dutch fintech provider.
Data Engineer Energiesector
Build and optimize data pipelines for energy-sector clients, integrating real-time sensor data, open sources, and cloud systems using Python and AWS/Azure/Google Cloud.
Data Engineer Dataconsultancy
Build and maintain data pipelines, ETL scripts, and cloud-based data platforms in Azure to transform raw data into reliable, structured datasets for analytics, dashboards, and AI projects.
Senior Data Engineer
Build and maintain a Microsoft Fabric/Power BI-based data platform for a large Dutch out-of-hours GP service, designing ETL pipelines, data models, and dashboards to drive operational, financial, and strategic decisions in healthcare.
Consultant Data Engineer
Design, build, and maintain scalable data platforms for clients, including ETL pipelines, data models, and analytics solutions using Python, SQL, and cloud platforms.
Data Engineer - Databricks
Senior Data Engineer builds and maintains scalable ETL pipelines using Python, SQL, PySpark, AWS, and Databricks to deliver clean data solutions for enterprise clients.
Data Engineer (NL)
Build and maintain data pipelines, data warehouses, and production-ready ML systems for clients like ING or ASML using Python, Spark, Kafka, and cloud tools.
Platform Data Engineer
Build and maintain cloud-based data platforms using Azure/AWS/GCP and infrastructure-as-code for clients in IT services.
Data Engineer | Bouwsector
Build and migrate data pipelines to Microsoft Fabric, enabling analytics and AI agents while collaborating with data scientists and GIS specialists.
ITSM Data Engineer
Builds and maintains ITSM data pipelines on Azure and Databricks, implementing business rules and ETL workflows for a global data platform used by Rabobank.
Medior Data Engineer
Builds and maintains cloud-based data pipelines and infrastructure for clients, using tools like Databricks, Spark, Airflow, and Terraform to process and store data at scale.
Senior Data Engineer
Build and maintain a scalable data platform for a quantitative investment firm, using Python, Airflow, and AWS to process market data and support research workflows.
Fabric Data Engineer
Build and engineer Microsoft Fabric lakehouses and data pipelines for enterprises, defining best practices, CI/CD, and scalable architectures while bringing software engineering rigor to data platforms.
Data Engineering Manager
Lead a team to build and scale a modern data platform using ELT/ETL pipelines, dbt, Airflow, and cloud warehouses like Snowflake or Databricks to drive reliable, high-performance analytics for business decisions.
Medior Data Engineer
Build and maintain scalable data pipelines and analytics solutions for clients in industries like healthcare, logistics, and fintech using Python, SQL, Azure, Spark, and Kafka.
Data Engineer Kapitaalmarkten
Build and maintain Azure-based data pipelines and platforms for financial-market supervision, using Databricks, SQL, and Azure DevOps to process millions of records and support analysts and risk models.