Semantic AI Engineer: Knowledge Graph & Analytics

Experis (Austria); Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Experis is seeking an AI Engineer to build semantic foundations, derived data assets, and knowledge graph capabilities for enterprise analytics. You will work at the intersection of data engineering and semantic modelling, transforming business concepts into reusable semantic models and trusted analytical assets.

You will collaborate with AI engineers, data architects, analytics engineers, and product teams to deliver a scalable platform with governed, explainable insights and robust

Qualifications

• Proven experience with semantic modelling and knowledge graphs.
• Strong SQL and data warehousing experience.
• Experience with Python and data processing.
• Experience with dbt or equivalent data transformation tools.
• Knowledge of governance, metadata, and ontology concepts.

Responsibilities

• Build semantic models, ontology artefacts, and graph projections.
• Develop derived assets such as aggregates and time-series outputs.
• Design scalable graph-loading pipelines and integrate with data platforms.
• Implement validation, data quality, and cost-efficient processes.
• Collaborate with AI engineers, data architects, and product teams.
• Contribute to governance, testing, and continuous platform improvement.

Skills

SQL

Python

Knowledge graphs

Ontology design

RAG concepts

Tools

dbt

Neo4j

BigQuery

Snowflake

Databricks

ClickHouse

Job description

Experis is seeking an AI Engineer to build semantic foundations, derived data assets, and knowledge graph capabilities for enterprise analytics. You will work at the intersection of data engineering and semantic modelling, transforming business concepts into reusable semantic models and trusted analytical assets.

You will collaborate with AI engineers, data architects, analytics engineers, and product teams to deliver a scalable platform with governed, explainable insights and robust