Data Engineer

Location: Northwood

Description 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 over-seeing naval operations, as well as advising NATO leadership on maritime  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.

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, Tensor Flow.  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 Map Reduce.

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…