Senior Data Engineer

2 weeks ago

Bedford, United Kingdom Experis UK Full time

Senior Data Developer Location: Bedford, UK (Hybrid) Engagement: Permanent Security Cleared: Either Active, or able to obtain - Strictly for British nationals Overview An established organisation working on large-scale data integration and digital transformation initiatives is seeking a Senior Data Developer. This role will focus on architecting and delivering advanced semantic web solutions that support high-value, data-driven programmes. You will lead the design, modelling, and validation of complex linked data ecosystems, and shape the standards, tooling, and best practices used across the wider engineering team. This position is ideal for someone who thrives in technically challenging environments, enjoys designing semantic models from the ground up, and can guide both technical and non‑technical stakeholders through linked data concepts. Key Responsibilities Design and maintain semantic data models and ontologies aligned with W3C standards. Develop SHACL-based validation frameworks and automated testing approaches. Create DCAT3-compliant metadata services and build/extend SKOS vocabularies. Implement and optimise Triple Pattern Fragments for high-performance data access. Translate domain requirements into robust RDF models and modelling strategies. Build tools and pipelines for data harmonisation, transformation, and validation. Design versioning approaches for evolving vocabularies and datasets. Develop hypermedia APIs following Hydra principles. Work with geospatial datasets using WKT and relevant geographic vocabularies. Write, optimise, and maintain SPARQL queries and SQL-to-RDF transformation logic. Produce clear technical documentation, diagrams, and architectural guides. SHACL validation schemas with accompanying automated tests. Semantic data models, ontologies, and vocabulary management structures. DCAT3 metadata service components and SKOS vocabularies. Triple Pattern Fragment endpoints and Hydra-driven APIs. Tools for geospatial processing and data harmonisation. Optimised SPARQL queries and transformation scripts. Architecture documentation and engineering guidance. Advanced knowledge of RDF, RDFS, OWL, SHACL, and broader semantic web technologies. Strong experience with SKOS, DCAT3, SOSA/SSN, and Hydra. Proficiency in SPARQL, SQL, data validation frameworks, and linked data design. Ability to convert domain requirements into scalable semantic models. Experience working across distributed or federated linked data architectures. Triple Pattern Fragments, JSON‑LD APIs, performance tuning for linked data endpoints. Familiarity with OGC standards and geospatial/environmental data formats. Experience with Python (e.g., FastAPI), Docker, Git, CI/CD workflows. Job Details Seniority level: Mid‑Senior level Employment type: Full‑time Industries: Defense and Space Manufacturing #J-18808-Ljbffr

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