Graph Data Engineer

Description

Job Summary: Veltech is seeking a Graph Data Engineer to design, implement, and optimize graph models, develop data pipelines, and apply Graph ML for organizational intelligence. Key Highlights: 1. Design and implement graph models for business use cases. 2. Develop data ingestion and transformation pipelines to graph databases. 3. Use graphs as input to Graph ML models. **Description:** ---------------- At Veltech, we build the future of organizational intelligence through our Metalake and cutting-edge architectures. To continue growing, 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 to 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 graphs as input to Graph ML models (GNNs, 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**, including at least 1 production project with graph databases in real enterprise environments. * Strong proficiency in Neo4j: graph modeling, advanced Cypher, database administration, and use 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 lead executive discussions on ROI and solution feasibility. * Professional English for technical documentation and collaboration with international teams.