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
• 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 in 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
• Experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform