Data Engineer for NATO with security clearance

The Hague - Netherlands

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Would you like to join the leading international intergovernmental organization

As a Data Engineer at the NCIA you will be at the forefront of building and maintaining the critical data infrastructure that empowers NATOs strategic decision-making. You will directly contribute to the mission by transforming vast and complex data sets into reliable secure and accessible assets for analysis artificial intelligence and situational awareness.

Responsibilities:

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. Selectedcandidate 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 datapipelines to meet the evolving business needs

Essential Qualifications & Experience:

A minimum requirement of a Bachelors degree at a nationally recognised/certified University in a related discipline such as Computer Science Data Science and Engineering and postrelated experience. Or exceptionally the lack of a university degree may be compensated by the demonstration of a candidates 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.

If youve read the description and feel this role is a great match wed love to hear from you! Click Apply for this job to be directed to a brief questionnaire. It should only take a few moments to complete and well be in touch promptly if your experience aligns with our needs.

Would you like to join the leading international intergovernmental organizationAs a Data Engineer at the NCIA you will be at the forefront of building and maintaining the critical data infrastructure that empowers NATOs strategic decision-making. You will directly contribute to the mission by transf...

Responsibilities:

Essential Qualifications & Experience:

A minimum requirement of a Bachelors degree at a nationally recognised/certified University in a related discipline such as Computer Science Data Science and Engineering and postrelated experience. Or exceptionally the lack of a university degree may be compensated by the demonstration of a candidates 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.