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 optimize scalable data platforms using Azure Data Factory, Fabric, and Databricks; design ETL pipelines and cloud-native solutions for clients.
Data engineer
Build and scale a new data warehouse and pipelines for a fast-growing fintech, using SQL, Python, AWS, and Terraform to enable analytics and real-time decision-making.
Data Engineer
Build and maintain scalable data pipelines using Python, Kafka, and Hadoop in a startup environment, focusing on ingestion, storage, processing, and security.
Senior Data Engineer - Pipelines & Warehouse (Hybrid)
Design and maintain scalable data pipelines and warehouses using Python, SQL, AWS, and orchestration tools to power data-driven decisions for a marketing tech firm.
Data Engineer
Designs and optimizes ETL pipelines and builds Power BI dashboards to turn raw data into business insights for internal clients.
Data engineer
Designs and maintains scalable data pipelines in Microsoft Azure Fabric, transforming raw data into reliable analytics-ready datasets using Azure Synapse, Data Factory, Spark and SQL.
Data Engineer
Builds and maintains scalable data pipelines and warehouses using cloud platforms (Azure/AWS) and tools like Snowflake and Databricks to move and process billions of records for clients.
Data Engineer
Build and maintain Azure-based data pipelines and star-schema models to feed analytics and models, using Synapse, ADF, and DevOps.
Data Engineering
Build and maintain scalable data platforms using Python, Spark, Kafka, and cloud-native tools, then embed with partner orgs to deploy ML models and analytics in production.
Azure Data Engineer — Pipelines, Lakehouse & MDR
Designs and maintains Azure-based data pipelines and lakehouse solutions, ensuring data quality and security across enterprise flows using SQL, Python, and Azure tools.
Data Engineer
Data Engineer implements data governance frameworks and automates data quality workflows for clients using tools like Collibra, Python, and SQL.
Data Engineer: Real-Time Data Platform & Pipelines
Build and maintain scalable real-time data pipelines and infrastructure using tools like Azure Data Factory and SQL to ensure high-quality data integration for a growing climate-tech company.
Data Engineer
Build and maintain cloud-native data platforms for clients, using Azure, Kubernetes, Terraform, and ETL pipelines to make data accessible and analytics-ready.
Data Engineer
Build and maintain data pipelines and infrastructure for a national healthcare data platform, ensuring reliable, accessible data for policy and research using SQL, Python, and ETL/ELT tools.
Data Engineer
Build and maintain scalable data pipelines on Azure to unify marketing, customer, and insurance data for real-time insights and improved customer experience.
Data Engineer
Build and maintain scalable cloud-native data pipelines and platforms that power analytics, machine learning, and AI for enterprise clients.
Data Engineer
Build and maintain PLUS’s data platform, ensuring reliable, scalable data flows for analytics and BI using SQL, Python, Azure, and Databricks.