Security Cleared Data Professional- Defence Programme

Overview

In this role you will help shape data-driven applications within a flagship Defence programme, delivering secure, scalable data solutions. You will work with Palantir Foundry and build data pipelines to support strategic decision-making. You’ll collaborate with stakeholders to refine requirements and guide deployments through Go Live. The position blends hands-on development with architecture oversight in a security‑critical environment, offering security clearance opportunities.

Pay / Benefits

• hybrid working
• healthy work-life balance
• inclusive culture
• collaborative environment
• opportunity to gain security clearance
• work on high-profile defence initiatives

Responsibilities

• Collaborate with client stakeholders to identify and prioritise Key User Requirements (KURs)
• Design and develop data-driven applications and features aligned to user needs
• Build and manage data pipelines for ingestion and live data integration
• Lead application/feature deployment through the Go Live process
• Conduct user trials and demonstrations to refine product functionality
• Ensure architectural coherence across a portfolio of applications
• Scope and define requirements for new applications or enhancements
• Operate or learn to operate Palantir Foundry as part of the delivery stack

Key requirements

• Bachelor’s or Master’s degree in Artificial Intelligence, Data Science, or Computer Science
• Strong understanding of data modelling (conceptual, logical, physical)
• Experience in building scalable, efficient data systems and architectures
• Ability to perform data profiling and resolve data quality issues
• Experience in application design and development
• General SQEP in data modelling and engineering
• Current UK Security Clearance (or eligibility)
• On-site work requirement (2/3 days/week)

• Collaborative mindset
• Stakeholder engagement
• Problem-solving and analytical thinking
• Palantir Foundry
• Data modelling (conceptual, logical, physical)
• Data pipelines and live data integration

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