C003261 Data Engineer (NS) - MON 25 Mar RELAUNCH

NOTE: This is a relaunch. Previously proposed candidates were non-compliant for the following reasons: The proposed candidates were lacking technical skills in terms of machine learning and AI, data manipulation and visualisation.

Deadline Date:  Monday 25 March 2024

Requirement: Data Engineer

Location: The Hague, NL    

Full time on-site: Yes

Time On-Site: 100%

Total Scope of the request (hours): 720

Required Start Date: 29 April 2024

End Contract Date: 31 December 2024

Required Security Clearance: NATO SECRET

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 specialised 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.

Requirements

Skill, Knowledge & Experience:

• The candidate must have a currently active NATO SECRET security clearance
• 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.