Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.
Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.
Our Vision:
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
Job Title: Consulting Engineer
Role Overview: As a Consulting Engineer at Neo4j, you will work closely with enterprise customers to implement graph-powered solutions, contributing to all phases of the Neo4j implementation within their projects, from inception to roll-out. Partnering with customer engineering teams and Neo4j Principal/Senior Consulting Engineers, you will design graph data models, and help deliver successful Neo4j implementations from initial design through to production deployment. You will act as a trusted technical advisor during consulting engagements, working hands-on with Neo4j technology while helping customers adopt best practices for graph data modeling, application development, and modern AI-powered data architectures. You will also help customers solve complex data and analytics challenges by applying graph technology to deliver practical, production-ready solutions.
Key Responsibilities:
Work closely with customer engineering teams to lead and contribute to Neo4j implementations across the full project lifecycle, from initial design through to production roll-out
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Act as the technical subject matter expert on consulting engagements, providing hands-on guidance and technical leadership for succeeding with Neo4j technology
Design and implement graph data models that represent complex relationships and support high-performance querying and analytics
Architect and build solutions that meet both functional and non-functional requirements using Neo4j
Support modern data and AI architectures by structuring graph data to enable advanced analytics, search, and emerging AI patterns such as RAG
Collaborate with customer AI and data teams to integrate Neo4j into modern orchestration frameworks such as LangChain or LlamaIndex
Provide guidance to customers on best practices for Data Engineering, focusing on optimizing data ingestion patterns into Neo4j.
Develop solution architectures that address the technical requirements of customer projects
Translate complex technical concepts into clear guidance for customer engineers and stakeholders
Contribute to solution proposals, level of effort assessments, SOWs and technical recommendations for customer engineering and leadership teams
Train and mentor customer teams on Neo4j best practices and graph development techniques
Work collaboratively with Neo4j sales, sales engineering and support teams to ensure successful customer outcomes
Travel may be required depending on customer engagement needs
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree is a plus).
3+ years of experience designing and developing enterprise-class applications, with a focus on data-driven or analytics-focused systems
Strong experience in data modelling and designing data structures for complex applications, with familiarity across relational, NoSQL, or graph databases
Experience designing scalable software architectures and working within modern application development environments
Practical experience data engineering and structuring and optimizing data for modern search, analytics, or AI-driven applications
Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, Go, or C#
Experience deploying applications on modern platforms such as Linux, Docker, or Kubernetes
Familiarity with source control and development workflows using tools such as Git
Strong problem-solving skills with the ability to work independently as well as collaboratively within a team
Excellent written and verbal communication skills, with the ability to clearly explain technical concepts in customer settings
Confidence presenting technical solutions and building strong customer relationships
Ability to work independently in a remote, cross-functional organization
Curiosity and enthusiasm for learning new technologies and development approaches
Willingness to travel to client sites as needed.
Bonus Points:
2+ years working in a consultative capacity in a Professional Services organisation
Industry experience in Financial Services, Life Sciences, Manufacturing, Technology
Experience working with graph databases such as Neo4j, TigerGraph, JanusGraph, or similar technologies
Familiarity with Snowflake or Databricks, and NoSQL/Relational providers such as MongoDB, Couchbase, or Teradata.
Experience in data science related projects and packages e.g. SciLearn, Keras, TensorFlow etc
Experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
Why Join Neo4j?
Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.
Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.
Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.
One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.
Neo4j Values:
Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.
