Job description

Deadline Date: 15th February 2024

Requirement: Data Engineer

Location: The Hague, NETHERLANDS

Full time on-site: Yes

Time On-Site: 100%

NATO Max Rate: €63 p/hr

Total Scope of the request (hours): 720

Required Start Date: 25th March 2024

  • Required Security Clearance: NATO Secret (or equivalent) already in place
  • Legal right to live and work in NETHERLANDS already in place

Duties and Role:

Under the direction of the Section Head, the incumbent will perform duties such as:

  • Applies existing data science techniques to new problems and datasets using specialized programming techniques to meet needs of the Agency and its customers.
  • Selects from existing data sources and prepares data to be used by data science models.
  • Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use.
  • Publishes and reports on machine learning model outputs to meet customer needs and conforming to agreed standards.
  • Supports review of data science and AI activities, processes, products or services.
  • Support development and maintenance of data pipelines for structured and unstructured data.
  • Support maintenance of the Agency's data lakes, implementing updates and working with system owners to ensure data is available for analysis.
  • Contribute to machine learning initiative across the Agency with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets.
  • Contribute to new/modifications to data science toolsets and metrics.
  • Remain up-to-date with new developments in data science and AI to bring innovative ideas into implementation.
  • Deputize for higher grade staff, if required.
  • Perform other duties as may be required.

Skill, Knowledge & Experience:

  • Required Security Clearance: NATO Secret (or equivalent) already in place
  • Legal right to live and work in NETHERLANDS already in place
  • A minimum requirement of a Bachelor's degree at a nationally recognised/certified University in a relevant discipline (such as Data Science, Mathematics/Statistics, Computer Science or Engineering) with 4+ year of post-related experience;
  • Experience with state-of-the-art data science, analytics and data integration tools;
  • Use of data science tools to support data analytics and data visualisation;
  • Experience involving supporting data focused operations in a technical organisation. Such experience should encompass at least 2 skills listed below:
  • Experience of working within a Big Data ecosystem, with tools such as DataBricks, Spark etc;
  • Planning, executing and maintaining data pipelines;
  • Knowledge of Machine Learning, statistical and mathematical models and ability to effectively explain them to both technical and non-technical colleagues;
  • Proven ability to effectively communicate orally and in writing.

Desirable Experience And Education

  • A Master's degree or higher at a nationally recognised/certified University in a relevant discipline (Data Science, AI engineering);
  • Experience in data presentation tools e.g. Microsoft Power BI, Spotfire, Tableau; Kibana; Dash; Streamlit;
  • Knowledge of DevOps best practices (git, Continuous Integration / Continuous Delivery pipelines etc)
  • Experience with Cloud Computing

Language Proficiency

  • A thorough knowledge of one of the two NATO languages, both written and spoken, is essential and some knowledge of the other is desirable.

NOTE: Most of the work of the NCI Agency is conducted in the English language.

Competencies Or Personal Attributes

  • Creating and Innovating - Produces new ideas, approaches, or insights; creates innovative products or designs; produces a range of solutions to problems.
  • Achieving Personal Work Goals and Objectives - Accepts and tackles demanding goals with enthusiasm; works hard and puts in longer hours when it is necessary; seeks progression to roles of increased responsibility and influence; identifies own development needs and makes use of developmental or training opportunities.

Delivering Results and Meeting Customer Expectations - Focuses on customer needs and satisfaction; sets high standards for quality and quantity; monitors and maintains quality and productivity; works in a systematic, methodical and orderly way; consistently achieves project goals.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.