Rodeo
Get started

TechNET IT Recruitment Ltd

Knowledge Graph / Ontology Engineer

United Kingdom
£450/day
Posted about 21 hours ago
Sign up to applySee more jobs like this
Get notified of more jobs like this · No spam, ever

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

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.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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.

See breakdown
Strong

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.

See breakdown
Strong

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

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

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
Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Location

United Kingdom

Sign up to applySee more jobs like this