Jobid=8817e670680f (0.0497)
Job description
Job Opportunity: Medior-Senior Data Engineer – Netherlands
Location: On-site or hybrid (Netherlands – multiple locations)
Employment Type: ZZP (freelance) or Payroll
Experience Level: Medior to Senior
Language Requirement: Dutch speaking (required), fluent English
About the Role
The Netherlands is a leading European hub for high-tech innovation, where organizations are increasingly investing in data-driven solutions to enhance research, production, and operational efficiency. As data becomes a strategic asset, there is growing demand for skilled Data Engineers to design, build, and maintain robust data infrastructure.
We are seeking experienced Data Engineers to support organizations in transforming raw data into reliable, scalable, and accessible systems. This role is ideal for professionals who combine strong technical expertise with the ability to work in complex, technology-intensive environments.
Who You Are
You are a technically proficient Data Engineer with a proven background in developing and maintaining data pipelines and cloud-based data platforms. You are comfortable working in fast-paced, innovation-driven settings and have a strong understanding of data architecture, integration patterns, and cloud technologies.
You may have held roles such as:
- Data Engineer
- Cloud Data Engineer
- ETL Developer
- Data Integration Specialist
- Analytics Engineer
You are results-oriented, detail-focused, and capable of translating business requirements into scalable technical solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines for ingestion, transformation, and loading (ETL/ELT)
- Build and optimize data models and warehouse structures on cloud platforms
- Work with cloud data environments such as Microsoft Azure and Snowflake
- Automate data workflows using orchestration tools such as Apache Airflow
- Ensure data quality, security, and governance across systems
- Collaborate with data analysts, data scientists, and IT teams to support reporting and analytics needs
- Troubleshoot and resolve data integration and performance issues
Requirements
Essential:
- Fluent in Dutch and English (both written and spoken)
- Minimum of 5 years of experience in data engineering or related roles
- Strong proficiency in Python and SQL
- Hands-on experience with ETL/ELT processes and data pipeline automation
- Experience with cloud data platforms, particularly Microsoft Azure
- Practical knowledge of Snowflake or similar cloud data warehouses
- Experience with Apache Airflow or equivalent orchestration tools
- Available for ZZP or payroll engagement
Preferred Certifications (required or highly valued):
- Microsoft Certified: Azure Data Engineer Associate
- Google Cloud Professional: Data Engineer
- Other relevant cloud or data platform certifications
Technology Stack (Familiarity Expected):
- Python, SQL
- Azure Data Factory, Databricks, Synapse
- Snowflake, Delta Lake
- Apache Airflow, CI/CD for data pipelines
- Git, DevOps practices in data projects
Opportunity
This is a strategic opportunity to contribute to cutting-edge data initiatives within high-tech organizations focused on innovation and performance. With strong demand across the region, skilled Data Engineers are playing a central role in enabling data maturity and digital transformation.
Flexible engagement models (ZZP or payroll) are available, allowing professionals to choose the working arrangement that best suits their needs.
How to Apply
If you are a Dutch-speaking Data Engineer with medior to senior experience in cloud data platforms and pipeline development, please submit your CV and a brief overview of your relevant technical experience.
Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this reason, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
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