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 – Azure Data Vault & BI Dashboards
Works as a Data Engineer for Veiligheidsregio Utrecht, developing a Data Vault datawarehouse in Azure, Azure Data Factory ETL/ELT pipelines, and automating CI/CD. Core technologies include Azure, Data Vault, and Data Factory.
Senior Data Engineer — ETL & Data Platform Lead
Senior Data Engineer leading ETL and data platform development, designing robust data pipelines and data warehousing solutions for Gemeente Zoetermeer, advising on data quality and working with business stakeholders.
Senior Data Engineer - Azure Data Platform & Databricks
Design, model, and implement data solutions using Azure Data Platform and Databricks in an Agile environment to deliver reliable data.
Data Engineer – Hybrid, DataHub & ETL Architect
Data Engineer joining TVM Verzekeringen's DataHub team to build and test MarkLogic-based solutions for data collection and harmonization, focusing on ETL, data modeling, data architectures, and OTAP improvements.
Chapter Lead, Data Engineering — Lead FRIDA Data Architecture
Manages 10-12 data engineers focused on implementing FRIDA data architecture to address reporting challenges. Responsible for coaching engineers, balancing IT risk with development, and designing cloud-native solutions in collaboration with domain architects.
Marketing Data Engineer — Azure + Databricks Personalisation
A Marketing Data Engineer modernizes the Azure data warehouse, builds scalable data pipelines, and enables data-driven marketing using Databricks for personalization, working with the commercial data team to ensure data quality and compliance.
Senior Data Engineer — Hybrid, Production-Grade Pipelines
Senior Data Engineer building production-grade ETL/ELT pipelines and medallion lakehouses on Azure or GCP using Terraform, Docker, Kubernetes, and Airflow for clients across aviation, banking, and retail.
Data Engineer Veiligheidsregio Utrecht
Build and optimize an Azure-based Data Vault data warehouse, implement ETL pipelines, and enforce testing/monitoring for a government safety agency.
Data Engineer (38 uur)
Data Engineer at TVM verzekeringen building and managing the DataHub (MarkLogic-based lakehouse), focusing on developing, maintaining, and testing ETL/data solutions using NiFi, CDC, and REST for BI, operational systems, and data science.
Test Data Engineer
Designs and manages compliant test data infrastructure to enable product teams; configures DATPROF Privacy tooling, templates, and anonymization processes while ensuring AVG/GDPR compliance.
Senior data engineer
Senior data engineer developing a modern dataplatform and AI environment, building scalable data solutions in Azure/Microsoft Fabric, managing data pipelines for batch/streaming and supporting AI applications.
Senior Data Engineer
Designs and builds scalable Azure-based data pipelines and warehouses to power analytics and decision-making for climate-focused projects.
Senior Data Engineer
Builds and maintains production-grade ETL/ELT pipelines, lakehouse architectures, and DevOps automation for enterprise clients in aviation, banking, and retail using Python, PySpark, SQL, and cloud platforms.