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- Tasks: Design data pipelines and knowledge graphs for a cutting-edge intelligence platform.
- Company: Join a tech-driven NGO making a difference with innovative solutions.
- Benefits: Attractive salary, collaborative environment, and opportunities for growth.
- Other info: Ideal for those passionate about collaboration and innovation.
- Why this job: Shape transformative data architecture and work on AI-driven projects.
- Qualifications: Experience with GCP, Neo4j, Python, and Postgres is essential.
The predicted salary is between 65000 - 85000 £ per year.
A technology-driven NGO is seeking a Data Engineer to build the first graph-based intelligence platform. The role involves designing data pipelines and knowledge graphs, requiring strong hands-on experience with GCP, Neo4j, Python, and Postgres. This is a mid-senior level position offering the chance to shape a transformative data architecture. Candidates with a passion for AI-driven solutions and collaboration will thrive. Attractive salary of £65,000 - £85,000, with a potential for more depending on experience.
Graph Data Engineer: Build Next-Gen Intelligence in London employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graph Data Engineer: Build Next-Gen Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with graph databases or AI solutions. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with GCP, Neo4j, Python, and Postgres. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data pipeline design and knowledge graph concepts. Practising common interview questions related to these topics will help you feel more confident and ready to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Graph Data Engineer: Build Next-Gen Intelligence in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI-driven solutions shine through. We want to see how your passion aligns with our mission to build a transformative data architecture.
Highlight Relevant Experience: Make sure to showcase your hands-on experience with GCP, Neo4j, Python, and Postgres. We’re looking for candidates who can hit the ground running, so don’t hold back on detailing your skills!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. We love seeing how you connect your experience to what we’re doing at StudySmarter.
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’re considered for this exciting opportunity to shape the future of data engineering with us!
How to prepare for a job interview at Inara
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, Neo4j, Python, and Postgres. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. We recommend preparing specific examples that showcase your hands-on experience.
✨Showcase Your Problem-Solving Skills
As a Data Engineer, you'll face challenges in designing data pipelines and knowledge graphs. Be prepared to talk about how you've tackled complex problems in the past. We suggest using the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Your Passion for AI
Since this role involves building an AI-driven intelligence platform, it’s crucial to express your enthusiasm for AI solutions. We recommend sharing any relevant projects or experiences that highlight your interest and expertise in AI technologies.
✨Prepare Questions About Collaboration
Collaboration is key in this role, so think of insightful questions to ask about the team dynamics and how they work together. We suggest asking about their current projects and how they integrate different technologies, as this shows your eagerness to fit into their culture.