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 NATO’s secure, scalable data infrastructure using Python, Kubernetes, and cloud/airgapped tooling to power reliable data pipelines and AI/ML workloads across the Alliance.
Cloud Data Engineer (Azure) - Pipelines & ML
Build and optimize cloud-based data pipelines on Azure, integrating ML features for enterprise clients in the Netherlands.
Data Engineer: Azure Pipelines, Databricks & BI
Builds and optimizes Azure-based data pipelines with Databricks and Fabric, then delivers insights via Power BI dashboards for clients.
Data Engineer
Designs and maintains scalable data pipelines and cloud-based warehouses to process large volumes of energy data for analytics and ML.
Data Engineer
Build and maintain scalable data infrastructure in Azure using IaC and CI/CD, design pipelines, and model data for analytics and reporting.
Data Engineer
Designs, builds, and maintains data pipelines and warehouses using Microsoft Azure, SQL/NoSQL, and Python/Java/Scala to support analytics and AI workloads.
Data Engineer
Build and maintain real-time data pipelines on GCP to power Orbisk’s AI-driven food waste monitoring system, enabling hospitality clients to cut waste and emissions.
Data Engineer
Build and maintain data pipelines and ETL processes using Azure tools to transform raw data into structured, usable formats for clients.
Data engineer
Build and optimize scalable data pipelines using Spark, Airflow, Databricks, and cloud-native tools on Azure/AWS to enable advanced analytics for enterprise clients.
Data Engineer
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
Data Engineer
Design and maintain cloud-based data pipelines and the enterprise Master Data Repository in Azure, enabling reliable data flows and analytics for a high-tech electronics manufacturer.
Data Engineer: Scalable Pipelines & Insights (Remote)
Build and maintain scalable data pipelines and infrastructure to transform raw data into usable datasets for analysis and reporting, collaborating with data scientists and analysts.
Azure Data Engineer: Build Pipelines & Platforms
Build and optimize Azure-based data pipelines and platforms to make data reliable, accessible, and actionable for data-driven organizations.
Data Engineer
Design and maintain data pipelines using Databricks, Python, and PySpark in Azure/AWS to build scalable ETL/ELT solutions for analytics and reporting.
Senior Data Engineer — Cloud Data Pipelines & ML
Senior Data Engineer builds cloud data pipelines and ETL processes for an energy-management system, integrating on-site data with ML models in the cloud.
Senior Data Engineer — Hybrid, Cloud & Data Warehousing
Design and maintain secure, scalable data pipelines and warehouses for a fintech bank, using Python, SQL, and ETL tools.