TechNET IT Recruitment Ltd
Knowledge Graph / Ontology Engineer

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Knowledge Graph / Ontology Engineer
Location: UK (Remote)
Day Rate: £450 per day outside IR35
I am looking for an experienced Knowledge Graph / Ontology Engineer to support the development and delivery of enterprise Knowledge Graph and semantic data capabilities.
This is a hands-on role requiring a strong combination of ontology development, semantic technologies and data engineering, with the ability to take a Knowledge Graph requirement and translate it into a practical, scalable solution.
You will work closely with Enterprise Architecture and wider technical teams, helping to build semantic data layers that bring together structured and unstructured enterprise information and make it accessible through both traditional and natural-language querying.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities:
- Design, develop and implement Knowledge Graphs and ontologies
- Build and evolve enterprise semantic data layers
- Integrate structured and unstructured data from multiple enterprise sources
- Develop solutions using RDF, OWL, SPARQL and Semantic Web technologies
- Create semantic, reusable and queryable data products
- Develop approaches for querying and navigating enterprise Knowledge Graphs
- Support natural-language querying across enterprise data and Knowledge Graphs
- Apply strong data integration and engineering principles throughout the Knowledge Graph build
- Work closely with Enterprise Architecture teams to translate architectural direction into working solutions
- Clearly communicate technical approaches, design decisions and delivery plans to a range of stakeholders


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Skills & Experience:
I am looking for someone with demonstrable experience across:
- Knowledge Graph development and implementation
- Ontology development and semantic modelling
- RDF, OWL and SPARQL
- Semantic Web technologies
- Structured and unstructured data integration
- Data integration and engineering
- Semantic and queryable data products
- Natural-language querying over enterprise data and/or Knowledge Graphs
- Working collaboratively with Enterprise Architecture teams
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