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Data Engineer

Northwood
£6.2k/month
Posted about 12 hours ago
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Post Number: OMC OXXX 1020

Job Title: Data Engineer

NATO Grade: NATO GRADE 15

NATO Body: Headquarters Allied Maritime Command (HQ MARCOM)

Location: Northwood, Middlesex, UK

Security Clearance Level: NATO Secret

Basic Monthly Salary: £ 6204.99 (tax free)

Closing Date: 30 September 2026


Background

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.


Role Purpose

The primary purpose of this role is to design and deliver the technical solutions required to integrate complex data and enable data-driven decisions.


Overview

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: Problems and opportunities have been defined, business requirements understood and technical solutions built, tested and deployed to enable desired project outcomes.
  • Problem Solving: MARCOM is leveraging complex algorithms, data science workflows and data modelling and AI to solve business problems and deepen situational awareness.
  • Data Engineering Maturity: MARCOM has developed and adopted critical data engineering methods which standard our approach to the collection, storage, processing, pipeline management and governance of data.
  • Capability Resilience: MARCOM has developed and adopted the appropriate architecture (policies, procedures, guidelines and ways of working) to strengthen maturity and enable continuous improvement in the areas of data integration.

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Your Qualifications and Experience

Essential:

  • 3 years’ experience of applying data science tools to support advanced data analytics, machine learning and data visualisation.
  • Educated to an advanced Degree level in data science/data analytics or a closely related field and 2 years function related experience; or
  • Higher Secondary education and completed advanced vocational training in that discipline leading to a professional qualification or professional accreditation with 4 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.
  • Experience of using big data ecosystems e.g. Hadoop, Spark and/or MapReduce.
  • Experience of working in NATO or similar multi-national defence / security sector.

Why work with us?

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.

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How to Apply

To apply for this vacancy, please visit the platform and search for vacancies within HQ MARCOM: https://nato.taleo.net/careersection/2/jobsearch.ftl?lang=en

Essential information must be included in the application form. Each question should be answered thoroughly. Expressions such as “please see attached CV,” or invitations to follow links to personal webpages, are not acceptable, and will be disregarded. Application form must be filled out in English.

Applications are automatically acknowledged within one working day after submission. In the absence of an acknowledgment please make sure the submission process is completed or re-submit the application.

Shortlisted candidates invited to the interview phase will be requested to provide, where applicable, copies of Educational and Vocational training certificates.

Current and past civilians working for NATO or any Coordinated Organisation shall indicate their last grade and step held (next to the job title) and specify the name of employing NATO body or Coordinated Organisation.


Supporting Documentation

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.

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Skills

Data Engineering
Data Science
Data Integration
Python
R
Machine Learning
Data Visualization
Statistical Modeling
Databricks
TensorFlow
Splunk
KNIME
Big Data
Project Management
Data Governance

Location

Northwood, England, United Kingdom

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