C004619 Data Engineer; NS - TUE

Overview

Deadline Date: Tuesday 10 February 2026

Requirement

Title:

Data Engineer

Location: The Hague, Netherlands

Full time on-site: Yes

Total Scope of the request(hours): 836

Required

Start Date:

17-MAR-2026

End Contract Date: 30-DEC-2026

Required Security Clearance: NATO Secret

Specific

Working Conditions:

n/a

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. The role involves working with Data Analysts, Data Scientists, and other stakeholders to understand data requirements, identify data sources, and implement processes to transform and load data into target systems. The Data Engineer ensures the integrity, availability, and security of data throughout its lifecycle and continuously optimizes data pipelines to meet evolving business needs.

• NATO Secret security clearance
• A minimum requirement of a Bachelor’s degree at a nationally recognised/certified university in a related discipline (e.g., Computer Science, Data Science and Engineering) and relevant post-graduate experience.
• Or, exceptionally, if a university degree is not held, demonstration of particular abilities or experience of interest to NCIA, i.e., at least 6 years of extensive and progressive duties related to 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 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, and 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