Solutions Engineer – Data/Graph

🕒 il y a 2 mois

🇳🇱 Pays-Bas – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🗣️🇺🇸🇬🇧 Anglais requis

ERP

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Mendix

1001 - 5000 employés

Fondée en 2005

💼 Conseil

🏥 Santé

🏭 Fabrication

💰 €25 000 000 Series B en 2014-01

Consulting • Healthcare • Manufacturing

Mendix est une plateforme leader de développement d'applications low-code pour les entreprises, reconnue par le Magic Quadrant de Gartner 2024. Elle permet aux entreprises d'accélérer le développement et la livraison d'applications grâce à des fonctionnalités enrichies par l'IA. Mendix propose un IDE visuel appelé Studio Pro, qui simplifie les tâches complexes et automatise les processus de routine. La plateforme soutient la gouvernance informatique, la conformité et les stratégies de transformation numérique. Mendix aide les organisations à optimiser les investissements hérités et à créer des expériences client exceptionnelles dans des secteurs tels que les services financiers, la fabrication et le commerce de détail. Elle offre également des capacités d'intégration robustes et une collaboration avec des partenaires stratégiques comme AWS et Red Hat.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• Equal Opportunity Employer encouraging diversity in the workplace • Consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service • Applicants and employees are protected under Federal law from discrimination • Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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