Solutions Engineer

Siemens Plc
United Kingdom
about 1 month ago
Apply on www.totaljobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Cleansing Information Engineering Query Languages Graph Database Neo4j Mendix SPARQL Enterprise Software Applications Ontology Design Build Management Operational Systems

Job 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.

Requirements

  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.totaljobs.com
Prepare application

Good distractions

Loading talks and stories from around this role…