**Deadline Date:** Friday 17 July 2026 **Requirement:** Backend Engineer **Location:** Braine-l'Alleud, BE **Full Time On-Site:** Yes **Time On-Site:** 100% **Total Scope of the request (hours):** 800 **Required Start Date:** 17 August 2026 **End Contract Date:** 31 December 2026 **Required Security Clearance:** NATO SECRET **Duties & Role:** Data management - Developing and implementing plans, policies, and practices that control, protect and optimise the value of data assets. - Devises and implements master data management processes for specific subsets of data. - Assesses the integrity of data from multiple sources. - Provides advice on the transformation of data from one format/medium to another. - Maintains and implements information handling procedures. - Enables the availability, integrity and searchability of information through the application of formal data and metadata structures and protection measures. Programming/software development - Designs, codes, verifies, tests, documents, amends and refactors moderately complex programs/scripts. - Applies agreed standards and tools to achieve a well- engineered result. - Monitors and reports on progress. - Identifies issues related to software development activities. - Proposes practical solutions to resolve issues. - Collaborates in reviews of work with others as appropriate. Data modelling and design - Investigates enterprise data requirements where there is some complexity and ambiguity. - Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives. - Provides advice and guidance to others using the data structures and associated components. Data engineering - Designs, implements, and maintains complex data engineering solutions to acquire and prepare data. - Creates and maintains data pipelines to connect data within and between data stores, applications and organisations. Data science - Investigates the described problem and dataset to assess the usefulness of data science and analytics solutions. - Applies a range of data science techniques and uses specialized programming languages. - Understands and applies rules and guidelines specific to the industry, and anticipates risks and other implications of modelling. - Selects, acquires and integrates data for analysis. - Develops data hypotheses and methods and evaluates analytics models. - Advises on the effectiveness of specific techniques based on project findings and comprehensive research. - Contributes to the development, evaluation, monitoring and deployment of data science solutions. Business intelligence - Supports business intelligence needs of specific management or governance processes or operational areas. - Investigates the need for business intelligence reporting and analysis where there is some complexity and ambiguity. - Selects and applies non-standard business intelligence tools and techniques to provide insights and aid decision-making. - Selects, acquires and integrates data for analysis. - Identifies opportunities to digitise and streamline operational data handling and optimise business intelligence capabilities. Data visualisation - Applies a variety of visualisation techniques and designs the content and appearance of data visuals. - Operationalises and automates activities for efficient and timely production of data visuals. - Selects appropriate visualisation approaches from a range of applicable options. - Contributes to exploration and experimentation in data visualisation. User experience evaluation - Evaluates design options and prototypes to obtain user feedback on requirements of developing systems, products, services or devices. - Tests the usability and accessibility of components and alternative designs. - Administers a range of evaluations, recording data and feedback. - Analyses evaluation data and recommends actions. - Identifies areas for future user research. - Checks systems, products, services or devices for adherence to applicable standards, guidelines, style guides, and legislation. - Evaluates the usability of existing or competitor systems to provide benchmark values and as input to design. **Skills, Knowledge & Experience:** - The candidate must have a currently active NATO SECRET security clearance - A minimum requirement of a relevant degree at a nationally recognised/certified University in a related discipline and 2 years post-related experience. Or exceptionally, the lack of a university degree may be compensated by the demonstration of a candidate's particular abilities or experience that is/are of interest to NCI Agency, that is, at least 6 years extensive and progressive expertise in duties related to the function of the post. - Demonstrable experience as a Data Analyst, Data Scientist, or similar role, or experience performing these functions roles as part of another job. - Demonstrable experience with at least one programming language, such as Python, R, or C#. - Experience with commercially available or open source data visualization tools, such as Power BI, Grafana or R Shiny. - Experience with SQL and relational databases, such as SQL Server. - Experience with user experience KPIs and reporting. Desirable Experience and Education: - Prior experience of working in an international environment comprising both military and civilian elements; - Knowledge of NATO responsibilities and organization, including ACO and ACT. - Training & Certifications: ITIL Foundation, DevOps Foundation and certifications proving the competency level in programming/software development skills