At a Glance
- Tasks: Design and develop a platform that transforms industrial data into smarter operations.
- Company: Join HiveMQ, a forward-thinking tech company focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on agile principles and continuous learning.
- Why this job: Make a real impact by unlocking AI for factories and enhancing operational efficiency.
- Qualifications: 3+ years in software engineering with expertise in React and cloud-native systems.
The predicted salary is between 50000 - 90000 £ per year.
HiveMQ's Vision for this Role
As a member of the HiveMQ Intelligence team, you'll design, develop, and operate the platform that turns industrial data into smarter operations. We follow agile principles and believe that ruthless automation and the smart use of Claude Code and other AI tools let us move fast while continuously meriting the trust our customers place in us.
You Will
- Help our customers unlock AI for their factories, turning fragmented industrial data into a Unified Namespace that powers real‑time operations from edge to cloud.
- Build and evolve genuinely complex frontends, including the visual graph editing surface (xyflow + elkjs on top of Chakra) where customers model, discover, and govern their industrial data.
- Deal with the hard edges of real‑time and distributed system behavior at scale: extending event sourcing, navigating on‑premise to serverless deployment setups, handling gRPC observer reconnection, job status polling, gateway agent sessions, and more.
- Take ownership of features end to end, including UX and product decisions.
You Have
- 3+ years of software engineering experience.
- Experience with event‑driven architectures and resilient inter‑service communication (JVM experience is a plus).
- Deep knowledge of React and reactive state management, ideally including the TanStack ecosystem (Router, Query, Form, Table).
- Production experience building and operating cloud‑native systems, ideally on AWS.
- Strong interpersonal skills and the ability to coordinate effectively across teams.
What Would Set You Apart
- Experience with product analytics and experimentation: defining robust KPIs in Mixpanel or GA, running A/B tests, and working with feature toggles such as LaunchDarkly.
- Familiarity with Auth0, cookie‑based session handling, and CORS edge cases for cross‑origin SPAs or microfrontend architectures.
- Experience with codegen‑heavy build pipelines (OpenAPI, ANTLR, or similar).
- A proven track record with CI/CD pipelines (e.g., GitHub Actions) and GitOps tooling such as ArgoCD and Helm.
EEO Statement
Job advertisements of HiveMQ GmbH are always directed at female, male and various applicants, regardless of age, gender, religion, sexual identity, disability, race, ethnic origin, world view, etc. The selection of a candidate is exclusively based on qualifications. For organisational reasons, we cannot return application documents and cannot reimburse any expenses that you incur during the application process.
Compensation
Compensation Range: €58K - €110K
Senior Fullstack Engineer - Data Intelligence employer: HiveMQ
At HiveMQ, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our agile work environment encourages continuous learning and growth, allowing our employees to take ownership of their projects while leveraging cutting-edge technologies in the heart of a vibrant tech community. With competitive compensation and a commitment to diversity and inclusion, we empower our team members to unlock their full potential and make a meaningful impact in the world of industrial data intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fullstack Engineer - Data Intelligence
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with HiveMQ employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving React and cloud-native systems. This is your chance to demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for the technical interview by brushing up on event-driven architectures and resilient inter-service communication. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Fullstack Engineer - Data Intelligence
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with event-driven architectures, React, and cloud-native systems to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about turning industrial data into smarter operations. Share specific examples of how you've tackled similar challenges in the past.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially in building complex frontends or cloud-native systems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at HiveMQ
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially React and event-driven architectures. Brush up on your knowledge of the TanStack ecosystem and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around real-time systems and cloud-native environments. Use examples that highlight your ability to think critically and adapt quickly, as this aligns with HiveMQ's agile principles.
✨Understand the Business Impact
Familiarise yourself with how industrial data can transform operations. Be ready to talk about how your work can help customers unlock AI for their factories and improve their processes. This shows you’re not just a techie but also understand the bigger picture.
✨Prepare Questions About Collaboration
Since strong interpersonal skills are key for this role, come prepared with questions about team dynamics and collaboration at HiveMQ. This will demonstrate your interest in working effectively across teams and your commitment to ownership of features end to end.
