Data Engineering Jobs in Netherlands
There are 1,846 open Data Engineering jobs in Netherlands on freehire right now. 508 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 | €6,474 | €7,000 | 150 |
| 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 32%
- 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 584
- Lead 124
- Junior 24
- Principal 19
- Staff 12
- Intern 6
Who is hiring
- 1000+ employees 166
- 501-1000 employees 165
- 51-200 employees 158
- 11-50 employees 38
- 201-500 employees 16
- 1-10 employees 2
Senior Data Platform Architect & Cloud Data Engineer
Designs and builds scalable cloud data platforms and Kubernetes-based infrastructure for enterprise-scale systems.
Data Engineer — Databricks Lakehouse, 24/7 Reliability
Build and maintain Databricks Lakehouse platforms, tuning pipelines for 24/7 uptime and reliability while supporting customers with robust data architectures.
Azure Data Engineer bij VisionBI in De Meern
Build and optimize data pipelines, lakes, and warehouses using Azure and Snowflake, then craft dashboards in Power BI for clients.
Medior Data Engineer: End-to-End Data Platforms & Cloud
Builds end-to-end data platforms and cloud architectures for clients, translating complex data needs into secure, modern solutions using Python and SQL.
Senior Data Engineer: Spark & Cloud Platforms (NL)
Designs and transforms data platforms using Apache Spark and cloud technologies for an AI-focused company.
AI Data Engineer, €5.000 - €6.500 | Breda/Zoetermeer
Build and maintain AI-powered data pipelines and infrastructure for document automation, deploying LLM agents and ensuring scalable, reliable AI systems in production.
*vervuld* vacature senior data engineer. sport, amsterdam
Senior data engineer builds and optimizes cloud-based data pipelines in Azure for a top Amsterdam sports club, using Python, SQL, PySpark, and Databricks to power data-driven decisions.
(Senior) Data Engineer | Azure - m/v/x
Design and build scalable Azure-based data pipelines and AI solutions that turn raw data into business value across sectors like energy, finance, and healthcare.
Senior Data Engineer – Energietransitie (Hybrid • Growth & Transparency)
Senior Data Engineer builds scalable cloud data pipelines and platforms for an energy-transition consultancy using Python, SQL, Databricks, and Azure.
Data Engineering Xccelerator: Bootcamp + Real-World Projects
Build and deploy scalable data pipelines, warehouses, and ML systems using Python, Spark, Kafka, and cloud tools, while learning on real client projects.
Senior Data Engineer: Migration to Modern Data Platform Hybrid
Senior Data Engineer to migrate Management Information products to a modern data platform using SQL and SAS Enterprise Guide.
Platform Data Engineer: Lakehouse & Cloud Infra Amsterdam
Designs and maintains cloud-based lakehouse architectures and infrastructure-as-code pipelines for clients using Azure, AWS, or GCP.
Senior Data Engineer — Real-Time Data for Green Hospitality
Build and maintain real-time data pipelines to track and reduce food waste in hospitality using Python and SQL.
ITSM Data Engineer: Azure & Databricks ETL Specialist
Builds and maintains ITSM data pipelines on Azure and Databricks, integrating configuration-management systems and translating business rules into technical solutions.
Azure & Databricks Data Engineer - Modern BI Platform
Builds and maintains a modern BI platform using Azure and Databricks for a fashion e-commerce company, designing data models and supporting platform migration.
Senior Data Engineer - Databricks, Azure & Power BI
Designs and maintains data pipelines, transforms data workflows, and implements ETL/ELT processes using Databricks, Spark, Python, SQL Server, Azure Data Factory, and Power BI.