Requirement Title: Data Engineer
Location: The Hague, Netherlands
Full time on-site: Yes
Total Scope of the request (hours): 836
Not to Exceed: 66 EUR
Required Start Date: 29 April 2026
Required Security Clearance: NATO Secret
Please do NOT apply for any NATO contract positions unless you meet ALL the following criteria:
- Current National or NATO SECRET clearance
- Nationality of one of the NATO member countries
- Current work visa for the specific location if applying for an in-country position
Duties and Role
A Data Engineer is responsible for implementing, building, testing, and maintaining the infrastructure and architecture required for the efficient and reliable processing of various types of data. Selected candidate works with Data Analysts, Data Scientists, and other stakeholders to understand the data requirements, identify data sources, and implement the necessary processes to transform and load the data into the target systems. They are also responsible for ensuring the integrity, availability and security of the data throughout its lifecycle, and for continuously optimizing the data pipelines to meet the evolving business needs.
Requirements:
- NATO Secret security clearance
- A minimum requirement of a Bachelor's degree at a nationally recognised/certified University in a related discipline, such as Computer Science, Data Science and Engineering, and post related experience.
- Or exceptionally, the lack of a university degree may be compensated by the demonstration of a candidate's particular abilities or experience that is/are of interest to NCIA, that is, at least 6 years extensive and progressive expertise in duties related to the function of the post.
- Strong understanding of data engineering concepts, including data warehousing, ETL/ELT processes and data governance
- Experience in planning and maintaining data lakes and pipeline processes, both batch-wise and (near) real-time;
- Experience in using of data engineering tools to support development of data science, data analytics and AI applications for both, structured and unstructured, data
- Experience with monitoring and logging tools to ensure the reliability and performance of data pipelines and AI systems.
- Solid understanding of containerization and orchestration tools such as Docker and Kubernetes.
- Experience with cloud platforms such as AWS, Google Cloud or Azure
- Solid understanding of good software development principles such as version control, CI/CD, unit/functional testing.
- Strong proficiency in Python for building and integrating various data engineering components
- Solid understanding of data security best practices, including data encryption, access controls, authentication/authorization mechanisms, and compliance requirements.
