At a Glance
- Tasks: Create and develop Knowledge Graphs using advanced graph technologies.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Other info: Dynamic role with a focus on continuous learning and adapting to new tech.
- Why this job: Be at the forefront of data transformation and make a significant impact.
- Qualifications: Experience with graph databases and knowledge of graph query languages required.
The predicted salary is between 50000 - 70000 £ per year.
Role: Knowledge Graph Engineer
Location: Remote (UK)
Hiring type: Contract
Primary Skill
- Strong hands-on experience in Knowledge Graph development
Core Skills
- Experience with graph databases such as Neo4j or AWS Neptune
- Ability to map and transform data between different graph structures
Technical Expertise
- Proven experience in building Knowledge Graphs using:
- RDF (Resource Description Framework) or
- LPG (Labeled Property Graph)
- Strong understanding and hands-on expertise in at least one graph query language, such as:
- Cypher, SPARQL, or Gremlin
Governance & Standards
- Exposure to graph validation frameworks like:
- SHACL (Shapes Constraint Language) or
- ShEx (Shape Expressions)
- (At least working-level familiarity required)
Graph Analytics
- Basic understanding or familiarity with graph algorithms
Other Requirements
- Strong learning mindset and adaptability to new technologies.
Knowledge Graph Engineer employer: Insight International (UK) Ltd
As a Knowledge Graph Engineer at our company, you will thrive in a dynamic remote work environment that champions innovation and collaboration. We offer competitive contract rates, a strong focus on employee development, and access to cutting-edge technologies, ensuring you have the tools and support needed to excel in your role. Join us to be part of a forward-thinking team that values your contributions and fosters a culture of continuous learning and growth.
Contact Details:
Insight International (UK) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Graph Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the Knowledge Graph space on LinkedIn or relevant forums. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Knowledge Graph projects, especially those using Neo4j or AWS Neptune. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on graph query languages like Cypher or SPARQL. We recommend practicing common interview questions and scenarios related to Knowledge Graph development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Knowledge Graph Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with graph databases like Neo4j or AWS Neptune. We want to see how your skills align with the Knowledge Graph development role, so don’t hold back on showcasing relevant projects!
Show Off Your Technical Skills:When writing your application, emphasise your expertise in RDF, LPG, and any graph query languages you know, like Cypher or SPARQL. We love seeing candidates who can demonstrate their technical prowess clearly and confidently.
Highlight Your Learning Mindset:We value adaptability and a strong learning mindset. In your application, share examples of how you've embraced new technologies or tackled challenges in the past. This will show us you're ready to grow with us at StudySmarter!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Insight International (UK) Ltd
✨Know Your Graph Databases
Make sure you brush up on your experience with graph databases like Neo4j or AWS Neptune. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Master the Query Languages
Familiarise yourself with graph query languages such as Cypher, SPARQL, or Gremlin. Prepare to demonstrate your understanding by solving sample queries or discussing how you've used these languages in past projects.
✨Understand Governance & Standards
Get a good grasp of graph validation frameworks like SHACL or ShEx. Be prepared to explain how you've applied these standards in your work, as this shows your commitment to quality and governance in Knowledge Graph development.
✨Show Your Learning Mindset
Highlight your adaptability and eagerness to learn new technologies. Share examples of how you've quickly picked up new skills or tools in the past, as this will resonate well with employers looking for a proactive team member.
