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
Van Data Analist naar Data Engineer
A 1.5-year trainee program where experienced data analysts transition into data engineers by designing and building batch/realtime data pipelines and platforms on Microsoft Azure for various client organizations.
Van Data Analist naar Data Engineer
A 1.5-year trainee program transitioning data analysts into full data engineers, building batch and real-time data pipelines, ETL processes, and data platforms on Microsoft Azure using the Medallion architecture at client sites.
Azure Data Engineer
Designs and builds scalable Azure data solutions, transforming raw data into insights using Databricks, Fabric, Snowflake, and AI tools like PySpark/Python. Focuses on pipelines, data lakehouses, and AI-ready platforms for clients in healthcare, government, finance, and education.
Remote Core Java Engineer – Real-Time Data Platform
This role involves developing high-performance backend software for a real-time data platform using Java 21, Netty, and Jetty without Spring Boot. The engineer will own features from design through to production in a fully remote environment.
Azure Data Engineering Lead – AI & Big Data
Leads technical delivery for AI and big data projects using Azure Data Hub, coding daily while overseeing engineers, data scientists, and client-facing tasks for Dutch clients.
Data Engineer: Regulatory Reporting & DW (Remote)
Build and maintain data models for regulatory reporting and data monitoring in a banking environment using SQL and Power Designer.
Data Engineer Hypothekenportefeuille | ETL & Analytics
Data Engineer building ETL pipelines with automated tests for a mortgage portfolio, translating complex data into actionable insights using SQL, Teradata, Snowflake, DBT, and Tableau in a hybrid setting.
Data Engineer Retail Lending
Build and maintain ETL pipelines, standardize mortgage portfolio data, and create dashboards to drive data-driven decisions for a sustainable bank.
Senior Data Engineer: Scalable Pipelines & Cloud AI
Senior Data Engineer designing scalable data pipelines using batch and stream processing (Spark, Kafka, Airflow) with Java, Python or Scala in cloud environments for a Dutch data consultancy.
Lead Data Engineer (Azure)
Lead Azure-based data engineering projects for clients, designing pipelines, mentoring teams, and ensuring technical/business alignment while coding daily.
Managed Services Data Engineer
Medior Managed Services Data Engineer managing and optimizing Azure Databricks platforms for clients—designing data pipelines in SQL/Python, implementing CI/CD and IaC, and ensuring 24/7 platform reliability.
Senior Data Engineer
Senior Data Engineer at a data consultancy building data pipelines and deploying cloud-native solutions (Azure/AWS) using Java, Python, or Scala and big data tools like Spark and Kafka across multiple client projects.
Medior Data Engineer
Medior Data Engineer at a Data & AI consultancy, building data-driven solutions (data hubs, batch processing, recommendation engines) using Python/Java/Scala, Spark, Kafka, Docker, Kubernetes, and Azure/AWS for large client organizations.
Data Engineer
Builds and maintains a scalable, observable data platform on Microsoft Fabric, integrating AI use-cases into financial workflows. Focuses on pipelines, data governance, and coupling datawarehouse with internal applications.
Data Platform Engineer: Build AI-Driven Data Pipelines
Building a new data platform with Microsoft Fabric for an accounting firm, handling data ingestion, orchestration and transformation while supporting AI use cases in production.
Medior Data Engineer - Build AI-Driven Data Pipelines
Builds and maintains AI-driven data pipelines using Java/Python/Scala on Spark and Kafka for client projects in a consultancy setting.