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
Cloud Data Engineer: Build Scalable Data Pipelines
Design, build, and maintain scalable cloud data pipelines and infrastructure to ensure high-quality, reliable data for analytics, ML, and business processes for government and enterprise clients.
Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines to improve data quality and support analytics at a Dutch product company.
Senior Data Engineer - Cloud ETL & Data Pipelines
Designs cloud data infrastructure and builds ETL pipelines in Python to move and transform data efficiently.
Lead Data Engineer — Data Pipelines & Cloud
Lead role designing and building scalable data pipelines, ETL processes, and cloud data infrastructure (e.g., Databricks, Snowflake) to power analytics and AI projects for clients in retail, finance, and healthcare.
Senior Data Engineer - Open-Source Data Pipelines
Build and maintain open-source data pipelines using Python, Kafka, and Hadoop tools in an Agile startup, focusing on ingestion, storage, processing, and security.
Data Engineer: Scalable Pipelines & Data Quality
Builds scalable data pipelines and ensures data quality using Python and PySpark for a fintech company in Amsterdam.
AI-Ready Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines and infrastructure to power AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Data Engineer: Architect Scalable Data Pipelines
Designs and maintains scalable ETL pipelines and data services using Python/Scala, Kafka, Docker, and Kubernetes to ensure data integrity for a media company.
Azure Data Engineer: Pipelines, Warehousing & IaC
Designs and builds Azure-based data pipelines and warehouses using Infrastructure as Code, solving complex data challenges for a data-processing company.
Data Engineer: Build Scalable Data Pipelines & Insights
Build and maintain scalable data pipelines for logistics operations, translating business needs into robust data infrastructure using SQL and Python.
Senior Azure Data Engineer: Scalable ETL & Data Pipelines
Designs and maintains scalable Azure-based data architectures, builds reliable ETL workflows, and manages data pipelines using Azure Data Factory, Python, and SQL.
Data Engineering Consultant: Cloud, Data Pipelines & AI
Build and deploy data pipelines and AI solutions for clients using Python, Docker, and cloud services as a data engineering consultant.
Data Engineer: Build Scalable Azure Data Pipelines
Design and build scalable Azure data pipelines using Data Factory, Fabric, and Databricks to transform raw data into actionable insights for clients.
Data Engineer — AI-Driven Trading Data Pipelines
Build scalable data pipelines for market data and ML workflows to power quant research and trading systems using C++/Python and SQL.
Java Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines in Java, ensuring high-quality, analytics-ready data for cross-functional teams using Hadoop/Spark and cloud platforms.