Graph Data Engineer

Description

Job Summary: We are seeking a Graph Data Engineer to design and implement graph models, develop data pipelines, and optimize Cypher queries at Veltech. Key Highlights: 1. Design and implement graph models aligned with business use cases 2. Develop data ingestion and transformation pipelines into graph databases 3. Optimize Cypher and/or GQL queries for connectivity analysis **Description:** ---------------- At Veltech, we are building the future of organizational intelligence through our Metalake and cutting-edge architectures. To continue our growth, we are looking for a **Graph Data Engineer**. **Responsibilities:** * Design and implement graph models aligned with business use cases. * Model stakeholder and business area requirements into graph-oriented data structures, ensuring traceability of generated value. * Develop data ingestion and transformation pipelines into graph databases, integrating relational sources, APIs, and real-time streams. * Write and optimize Cypher and/or GQL queries for connectivity analysis, pattern detection, and complex graph searches. * Use the graph as input to Graph ML models (GNN, link prediction, community detection). * Define and maintain graph quality standards: referential integrity, entity deduplication, and schema versioning. * Participate in discovery sessions with business teams to identify new domains that would benefit from graph modeling. **Requirements:** --------------- * **\+3 years of experience as a Data Engineer**, with at least 1 production project using graph databases in real enterprise environments. * Strong proficiency in Neo4j: graph modeling, advanced Cypher, database administration, and usage of the Graph Data Science Library. * Experience building ETL/ELT pipelines, especially those oriented toward large-scale graph loading. * Practical knowledge of applied graph algorithms such as PageRank, Louvain, betweenness centrality, and shortest path. * Ability to communicate technical findings to non-technical audiences and engage in executive-level discussions regarding ROI and solution feasibility. * Professional English for technical documentation and collaboration with international teams.