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- Tasks: Design and optimise graph database solutions using Neo4j for complex data relationships.
- Company: Join a leading banking client in the financial services sector.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and continuous learning.
- Why this job: Make an impact by working with cutting-edge graph database technologies.
- Qualifications: 4+ years of experience with Neo4j and strong problem-solving skills.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist Hybrid Working - Edinburgh OR London - 2 days a week on site. Financial Services. Lorien's leading banking client are seeking an experienced Data Scientist with strong expertise in graph databases and hierarchical data modelling to join our dynamic team onsite in London or Edinburgh.
The successful candidate will be responsible for designing, developing, and optimising graph database solutions to support complex data relationships and hierarchies in our business applications with knowledge/experience of Neo4j. This role is based in Edinburgh OR London and will be via Umbrella, working in a hybrid model of 1 day a week on site.
Key Responsibilities:- Design, develop, and maintain graph database solutions using Neo4j to model complex hierarchical and relational data.
- Collaborate with data architects and business analysts to translate business requirements into graph models.
- Develop Cypher queries and procedures for data retrieval, manipulation, and analysis.
- Optimise query performance and database schema to ensure scalability and efficiency.
- Integrate Neo4j with existing applications and data sources.
- Troubleshoot and resolve issues related to graph data storage and retrieval.
- Document designs, processes, and solutions clearly for technical and non-technical stakeholders.
- Stay current with graph database trends and best practices to continuously enhance system capabilities.
- Proven experience (4+ years) working with Neo4j and Cypher query language.
- Strong understanding of graph theory, graph data structures, and hierarchical data modelling.
- Ability to design and implement efficient and scalable graph database schemas.
- Experience in integrating Neo4j with other data platforms or applications.
- Knowledge of software development best practices, including version control, testing, and deployment.
- Proficiency in relevant programming languages (Java, Python, or JavaScript).
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively in a team.
- Experience with other graph technologies or databases.
- Familiarity with cloud platforms (AWS, Azure) hosting Neo4j solutions.
- Experience working in agile development environments.
- Relevant certifications in Neo4j or graph database technologies.
Ne04J Developer in England employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ne04J Developer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with graph databases or Neo4j. 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 Neo4j and graph databases. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the interview by brushing up on your Cypher queries and graph theory. Practice common interview questions related to data modelling and problem-solving scenarios. We want you to feel confident and ready to impress!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Ne04J Developer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Neo4j and Cypher. We want to see how your skills match the job description, so don’t be shy about showcasing your graph database expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background makes you a perfect fit for our team. Let us know what excites you about working with graph databases.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially when it comes to graph data!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Lorien
✨Know Your Neo4j Inside Out
Make sure you brush up on your Neo4j and Cypher query language skills. Be prepared to discuss your past experiences with graph databases, and think of specific examples where you've designed or optimised a graph database solution. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle some hypothetical scenarios or problems related to graph data storage and retrieval. Think about how you would troubleshoot issues and optimise performance. This is your chance to demonstrate your analytical thinking and attention to detail.
✨Communicate Clearly and Collaboratively
Since the role involves working closely with data architects and business analysts, practice articulating your thoughts clearly. Prepare to explain complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Stay Updated on Trends
Familiarise yourself with the latest trends and best practices in graph databases. Mention any recent developments or technologies you've explored, especially if they relate to Neo4j or cloud platforms like AWS or Azure. This shows your commitment to continuous learning and improvement in your field.