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# Solutions Engineer

- **Company:** Siemens Plc
- **Location:** United Kingdom
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Cleansing, Information Engineering, Query Languages, Graph Database, Neo4j, Mendix, SPARQL, Enterprise Software Applications, Ontology Design, Build Management, Operational Systems
- **Published:** October 14, 2026
- **Apply:** https://www.totaljobs.com/job/solutions-engineer/siemens-plc-job108167211

## About the Role

* Demonstrable hands-on experience designing and building knowledge graphs and ontologies.
 * Strong understanding of graph data modelling, semantic modelling, and ontology design.
 * Experience with graph database platforms and query languages (e.g. SPARQL, Cypher, or equivalent).
 * Data engineering fundamentals: pipelines, data preparation, and integration with enterprise systems (ERP, CRM, operational systems).
 * Ability to translate data and graph architectures into reusable patterns and clear technical narratives.
 * Strong communication and collaboration skills across Product, GTM, engineering, and customer stakeholders.

## Description

The Technical Solutions Marketing team builds technical credibility for Mendix through validated architectures, reusable proof points, and real-world implementations. In this role, you will work directly with customers and the field to prove high-value use cases through lighthouse implementations, then package what works into reusable patterns, components, and technical narratives that scale across GTM and delivery ecosystems.
Responsibilities

 * Design and build knowledge graphs and ontologies that underpin Mendix's AI solutions, technical demos, and customer implementations.
 * Own the data and graph architecture workstream within integrated team solutions, working alongside Solutions Engineers who cover the application and AI layers.
 * Turn validated customer work into reusable assets: reference architectures, blueprints, accelerators, and repeatable patterns.
 * Contribute to customer engagements, events, and analyst briefings as the team's expert in data and graph.
 * Ground GTM positioning and storytelling in validated technical proof points, supporting high-impact moments like executive demos and analyst briefings., * Knowledge graph demos and reference architectures that hold up in customer and analyst sessions and are ready to reuse across the team.
 * Recognised as the team's go-to on data and graph in customer engagements.
 * Packaged architectures adopted by the team and reused across go-to-market and delivery.
 * Implementation learnings feeding product direction and positioning in a consistent way.