Data Engineering Jobs in Netherlands
There are 1,844 open Data Engineering jobs in Netherlands on freehire right now. 506 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 583
- 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
Senior Data Engineer (Data Domain Lead) - eMobility
Senior Data Engineer builds and maintains Azure-based ETL/ELT pipelines and data models for an eMobility company, translating business needs into scalable, actionable insights.
PySpark Data Engineer (ID: 3887)
Build and maintain scalable PySpark data pipelines on Databricks, orchestrating workflows with Python and Airflow to deliver reliable analytics-ready data.
Azure Data Engineer (ID: 3870)
Build and maintain Azure-based data pipelines using ADF, Databricks, PySpark, and Azure DevOps to process large-scale datasets and automate ETL workflows.
Senior Data Engineer (ID: 3822)
Design, optimize, and reverse-engineer enterprise data environments, migrating legacy Oracle systems to modern cloud or hybrid lakehouse platforms while ensuring governance and compliance.
Senior Azure Databricks Data Engineer
Builds and optimizes scalable data pipelines on Azure Databricks using Python and SQL for large-scale data platforms.
Senior Data Engineer (ID:3458)
Senior Data Engineer builds and maintains scalable Azure-based data pipelines using Databricks, Synapse, and Oracle ERP integrations to power analytics and reporting in Power BI.
Senior Data Engineer: Data Warehouse & DataOps Lead
Senior Data Engineer builds and maintains the data warehouse, designs ETL pipelines in Informatica PowerCenter, and ensures reliable datasets for reporting and analysis using Microsoft SQL Server.
Data Engineer: Azure & Fabric Modernization
Data Engineer migrating SAP BW to Azure and Microsoft Fabric, building data flows and products while aligning with business and IT teams.
Senior Azure Databricks Data Engineer — Data Governance
Design and build scalable cloud data platforms using Azure Databricks, dbt, and Spark; develop ETL/ELT pipelines, data models, and enforce data governance for enterprise datasets.
Senior Data Engineer Managed Services
Builds and maintains scalable, secure data platforms using Azure, Databricks, and Python to power data-driven decisions for clients in energy, healthcare, logistics, and mobility.
Senior Azure Risk Data Engineer
Designs and maintains Azure-based datasets to support risk modeling, modernizes data platforms, and ensures data quality and governance across teams.
Remote Lead Data Engineer — Data Platform & Quality
Lead a team to design and build scalable data pipelines for healthcare analytics using Python, Airflow/Prefect, dbt, and Databricks, ensuring reliability and governance.
Ecological Data Engineer - DB & Applications
Designs and maintains ecological data infrastructure, builds relational databases for research, and migrates a C#/SQL Server app to open-source.
Data Platform Engineer – Scalable Pipelines & Data Quality
Designs, builds, and maintains scalable data pipelines and platforms for energy-transition use cases, ensuring data quality and integration with CI/CD workflows.
PySpark/Databricks Data Engineer — Build Pipelines, Remote
Build and maintain PySpark/Databricks pipelines for investment and research platforms, streamlining data flows and collaborating with analytics teams.