At a Glance
- Tasks: Design and scale complex knowledge graph systems for next-gen AI workflows.
- Company: Cutting-edge AI software company with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to work with advanced technologies.
- Other info: Work in a hybrid environment with excellent growth potential.
- Why this job: Join a dynamic team and shape the future of AI with graph-based reasoning.
- Qualifications: Experience in Neo4j, Python, and large-scale graph construction required.
We are currently supporting a cutting-edge AI software company building advanced graph-based reasoning infrastructure for enterprise environments across highly regulated sectors. They’re looking for a Graph Data Engineer to join on a subcontractor basis, helping design and scale complex knowledge graph systems powering next-generation AI/LLM workflows.
Tech Stack:
- Neo4j
- Python/FastAPI
- Graph Algorithms
- GraphRAG
- RDF/SPARQL
- NetworkX/GraphBLAS
- GCP/AWS
- DuckDB/FalkorDB
Key Experience:
- Large-scale graph construction
Graph Data Engineer employer: Uneek Global
Join a pioneering AI software company that values innovation and collaboration, offering a dynamic hybrid work environment in London. With a strong focus on employee growth, you will have access to cutting-edge technology and the opportunity to work on impactful projects in highly regulated sectors. Enjoy competitive daily rates and a culture that fosters creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Graph Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Neo4j and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on graph algorithms and your tech stack. Practice explaining complex concepts in simple terms, as this shows you really understand your stuff and can communicate effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Graph Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Neo4j, Python, and graph algorithms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Graph Data Engineer position and how your background makes you a perfect fit for our cutting-edge AI software company.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex graph construction challenges in the past. We love seeing how you approach problems and come up with innovative solutions!
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 our team!
How to prepare for a job interview at Uneek Global
✨Know Your Tech Stack
Make sure you’re well-versed in Neo4j, Python, and the other technologies mentioned in the job description. Brush up on graph algorithms and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your problem-solving skills, especially around large-scale graph construction. Think of specific examples from your experience where you tackled complex challenges and be ready to walk through your thought process. This will demonstrate your analytical abilities and practical knowledge.
✨Showcase Your Project Experience
Have a couple of relevant projects in mind that highlight your experience with knowledge graph systems. Be prepared to discuss the architecture, the challenges you faced, and how you overcame them. This will help the interviewers see your hands-on experience and how it aligns with their needs.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects involving AI and graph-based reasoning, or how they envision the future of their technology stack. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
