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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.
- Why this job: Shape transformative data architecture and work on AI-driven projects.
- Qualifications: Experience with GCP, Neo4j, Python, and Postgres is essential.
- Other info: Perfect for those passionate about data and collaboration.
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 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
✨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 lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with GCP, Neo4j, and Python. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data pipeline design and knowledge graph concepts. Practise explaining your thought process clearly, as collaboration is key in this role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your passion for AI-driven solutions and how you can contribute to our mission.
We think you need these skills to ace Graph Data Engineer: Build Next-Gen Intelligence
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering and AI-driven solutions. Share any personal projects or experiences that highlight your skills with GCP, Neo4j, Python, and Postgres.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant experience and skills that align with building graph-based intelligence platforms. We want to see how your background fits into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit. Be genuine and specific about what excites you about this role and how you can contribute to shaping our data architecture.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from 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. Specific examples will show your hands-on experience and make you stand out.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in data engineering and how you overcame them. Think about scenarios where you designed data pipelines or knowledge graphs, and be ready to explain your thought process. This will demonstrate your ability to tackle complex problems.
✨Emphasise Collaboration
Since this role values collaboration, think of examples where you’ve worked effectively in a team. Be prepared to talk about how you communicate with others, share ideas, and contribute to group success. Highlighting your teamwork skills can set you apart from other candidates.
✨Passion for AI-Driven Solutions
Express your enthusiasm for AI and how it relates to data engineering. Share any relevant projects or experiences that showcase your interest in AI-driven solutions. This passion can resonate well with the interviewers and align with the NGO's mission.
