Data Engineer for NATO with security clearance at WLG
The Hague, South Holland, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

0.0

Posted On

19 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Data Warehousing, ETL/ELT, Data Governance, Data Lakes, Python, Docker, Kubernetes, AWS, Google Cloud, Azure, CI/CD, Data Security, Data Pipelines, Software Development

Industry

Financial Services

Description
Would you like to join the leading international intergovernmental organization? The Data Engineer is responsible for designing, building, testing, and maintaining the data infrastructure and architecture that supports the efficient, reliable, and secure processing of structured and unstructured data. This role works closely with Data Analysts, Data Scientists, and business stakeholders to understand data requirements, identify data sources, and implement scalable data pipelines. The Data Engineer ensures data integrity, availability, and security throughout the data lifecycle and continuously optimizes data processes to meet evolving business needs. 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. 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. Essential Qualifications & Experience: 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 postrelated 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. Experience: • 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 you've read the description and feel this role is a great match, we'd 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 we'll be in touch promptly if your experience aligns with our needs.
Responsibilities
The Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure and pipelines to support efficient data processing. They collaborate with stakeholders to identify data requirements and ensure the integrity, availability, and security of data throughout its lifecycle.
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