At a Glance
- Tasks: Design and build knowledge graphs for AI solutions, turning customer work into reusable assets.
- Company: Join Siemens Industry Software, a leader in innovative tech solutions.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a cutting-edge environment.
- Why this job: Be at the forefront of AI and data architecture, making a real impact.
- Qualifications: Experience in graph data modelling and strong collaboration skills required.
The predicted salary is between 59400 - 72600 £ per year.
About the Role
Mendix, a Siemens business, powers hybrid agentic workforces by enabling organizations to build, scale and orchestrate agents and applications faster by combining low-code, AI, data, and integrations into a unified platform. 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.
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.
Note: This is not a data analyst or business intelligence role. The focus is graph data, knowledge modelling, and how that layer supports AI and agentic applications.
What Success Looks Like
- 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.
Why this role
This role sits at the foundation of agentic enterprise solutions are grounded in real data, and plays a central part in how knowledge graph architectures are proven, packaged, and scaled. You will design the graph layer that gives AI agents structured context and memory at enterprise scale, work alongside the application and AI Solutions Engineers to take those implementations in front of customers and analysts, and feed what you learn back into Product and Go To Market teams.
Solutions Engineer in London employer: Siemens Mobility
At Siemens Mobility, we pride ourselves on being an exceptional employer that prioritises the wellbeing and growth of our employees. Located in Chippenham, our inclusive work culture fosters collaboration and innovation, offering extensive benefits such as flexible working, mental health support, and opportunities for personal development. Join us to be part of a global leader in rail infrastructure, where your contributions will help shape the future of transportation while enjoying a supportive environment that values your unique identity.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Siemens Mobility or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Siemens Mobility.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Siemens Mobility.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Siemens Mobility that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Solutions Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Siemens Mobility.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Siemens Mobility and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Siemens Mobility
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Siemens Mobility uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
