Senior Software Engineer (Digital Engineering & Semantic Data)

Overview

In this Senior Software Engineer role, you design and build the Digital Thread to connect and enrich engineering information across a distributed landscape. You work within a multidisciplinary team to enable semantic, ontology-driven data flows that scale across partners and lifecycle stages. You’ll push for high-abstraction, graph-based solutions and semantic technologies to support next‑gen aerospace programmes. This is a hands-on opportunity to shape digital engineering capabilities with impact across the business.

Pay / Benefits

• Generous leave with up to 12 flexi-days per year
• Pension scheme with up to 15% employer contribution
• Mental health support and wellbeing networks
• Bonus scheme for eligible staff
• Free access to 4,000+ online courses (Coursera/LinkedIn Learning)
• Flexible benefits up to 500 annually

Responsibilities

• Develop and maintain the Digital Thread implementation using Semantic Web technologies (RDF, OWL, SPARQL)
• Design, optimise, and manage graph databases and triple stores for engineering relationships
• Implement data enrichment within the thread to add semantic value and context
• Create adapters to map local data schemas to a global ontology while preserving semantics
• Architect and enforce versioning and configuration controls for the Digital Thread graph
• Collaborate with the Principal Systems Engineer and software engineers to deliver quality, scalable enablers

Key requirements

• Proficient in a modern language (Python, Java, Node.js, or TypeScript)
• Experience with heterogeneous, distributed data
• Knowledge of the Semantic Web stack (RDF, OWL, SPARQL) or graph databases (Neo4j, GraphDB, Stardog) is highly desirable
• Strong software craftsmanship, clean code, SOLID principles, and automated testing
• Degree in Computer Science, Mathematics, or related field or equivalent experience
• Ability to think in terms of relationships and abstractions; interest in Knowledge Engineering
• Willingness to learn and adapt in a composable, scalable environment
• Security clearance suitability (BPSS/NSV/SC/DV) may apply

• Collaborative mindset
• Strong problem-solving attitude
• Willingness to learn and adapt
• Semantic Web stack (RDF, OWL, SPARQL)
• Graph databases (Neo4j, GraphDB, Stardog)
• Distributed systems knowledge

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