Data Integration Specialist
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Role details
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Job description
The primary purpose of this role is to support the delivery of technical solutions required to integrate complex data and enable data-driven decisions., This is a fixed-term 3-year role which will play a critical part in the delivery of critical data integration projects and contribute to MARCOM’s journey to standardise technical practice and lift technical capability in the fields of project management, data engineering and data science.
Areas of Focus
Project Delivery - Project success has been enabled by the identification, integration and exploitation of relevant data.
Product Management - Data users have access to efficient and intuitive data products and analytical tools which are complaint with NATO standards, utilise available technology and are underpinned by reliable and valid data., By joining our organization, you will be part of a committed and diverse multi-national team who share a common desire of safeguarding peace and promoting democratic values for over a billion people. We are committed to fostering a collaborative work environment built on mutual respect and professionalism, where every individual’s work makes a difference and has a meaningful impact on the mission and operation of the Alliance.
Note.
NATO will not accept any phase of the recruitment and selection process, in whole or in part, by means of generative artificial-intelligence (AI) tools, including and without limitation to chatbots, such as Chat Generative Pre-trained Transformer (Chat GPT), or other language generating tools. NATO reserves the right to screen applications to identify the use of such tools. All applications prepared, in whole or in part, by means of such generative or creative AI applications may be rejected without further consideration at NATO’s sole discretion, and NATO reserves the right to take further steps in such cases as appropriate.
Requirements
Essential:
3+ years experience of relevant work in data integration, data analysis or software development
1+ year + experience of applying data science tools to support advanced data analytics, machine learning and data visualisation
Higher Secondary education and completed higher vocational training in information technology, computer science, data science or a closely related field; or
Secondary education and completed advanced vocational training in that discipline leading to a professional qualification or professional accreditation with 5 years post related experience.
Demonstrable experience of delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow.
Demonstrable experience of designing mathematical and statistical models to resolve business challenges.
Demonstrable experience applying data science, analytics and data integration tools/programming languages on real-world datasets e.g. Python, R, KNIME, Splunk, Geo data.
Desirable:
Industry recognised qualification / accreditation in relevant field.
Demonstrable experience of data visualisation tools e.g. Microsoft Power BI, Spotfire, Tableau., Where a question relates to qualifications / evidence, please attach relevant documentation to your application. Failure to do so may result in your application not being evaluated. Note: Any documentation submitted in a language other than English must be accompanied by at least an unofficial translation.
About the company
HQ MARCOM is NATO’s central command for all maritime forces, responsible for planning, coordinating, and overseeing naval operations, as well as advising NATO leadership on maritime matters.
In order to strengthen its awareness of the maritime environment, HQ MARCOM is pursuing a number of initiatives to improve maritime situational awareness and strengthen operational decision making.
We are seeking a number of highly motivated individuals with skills and experience in delivering projects that enable data-driven decisions through improved data integration, engineering and analysis. If you have experience in Project Management, Data Science, Data Engineering or Data Integration and a desire to contribute to peace and prosperity of NATO member countries then we’d love to hear from you.
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