Backend/Integration Engineer

Accountabilities

• Design and implement graph data models using Neo4j, including nodes, relationships, properties, and indexing strategies.
• Configure and maintain Neo4j environments for production, including TLS, clustering, persistence, sizing, and scalability considerations.
• Integrate multiple structured and unstructured data sources into the graph data platform.
• Develop and manage data ingestion workflows and pipelines using appropriate ETL/ELT approaches.
• Build integrations using APIs and, where applicable, event-driven ingestion architectures.
• Write, optimize, and maintain Cypher queries to support efficient data access and application requirements.
• Analyze and resolve database and query-performance issues, improving scalability and overall system responsiveness.
• Collaborate with technical stakeholders to understand data requirements and translate them into reliable graph-based solutions.
• Apply sound database engineering and programming practices throughout development, integration, testing, and production deployment.
• Contribute to the continuous improvement of the graph data layer, ensuring it remains maintainable, performant, and fit for evolving business needs.

Requirements

• 5+ years of experience in Data Engineering, with candidates bringing broader technical expertise and more than six years of experience also considered.
• Strong professional experience with Neo4j, including database creation, configuration, development, and production environments.
• Expert knowledge of graph data modeling, including nodes, relationships, properties, and indexing strategies.
• Hands-on experience with the Cypher query language and the ability to develop and optimize complex queries.
• Experience working with both structured and unstructured data sources.
• Solid understanding of data pipelines and ETL/ELT processes.
• Familiarity with APIs and/or event-driven data ingestion patterns.
• Strong programming and database engineering skills, with the ability to build practical, production-ready solutions.
• Understanding of database performance optimization, scalability, persistence, and production configuration.
• Strong analytical and problem-solving skills, with a structured approach to diagnosing technical issues.
• Ability to work independently, take ownership of technical deliverables, and collaborate effectively with engineering and data teams.
• Comfortable working in a dynamic environment that values continuous learning, innovation, and practical problem-solving.

Benefits

• Six-month contract engagement, with the possibility of extension.
• Opportunity to work on a technically challenging graph-data engineering initiative.
• Hands-on experience with Neo4j, graph data modeling, data integration, and performance optimization.
• Exposure to structured and unstructured data integration, ETL/ELT pipelines, APIs, and event-driven architectures.
• Opportunity to contribute to the design of a production-grade, scalable data platform.
• Collaborative environment focused on innovation, continuous learning, and knowledge sharing.
• Opportunity to work with a globally oriented technology organization and contribute to impactful digital solutions.