Description

You will design and implement graph database solutions for industrial data modeling.

This role is on-site.

Responsibilities

• Analyze engineering documentation (P&ID Design) and implement graph data models for equipment, instrumentation, pipelines, and control logic.
• Develop ETL pipelines to convert P&ID data from PDFs, CAD, or XML into graph structures.
• Collaborate with domain experts to ensure semantic accuracy and contextual relevance of graph relationships.
• Optimize graph queries and performance for industrial-scale datasets.
• Integrate graph database solutions with existing enterprise systems (CMMS, SCADA, ERP).

Required Skills

• 5+ years of experience in Data Engineering or Software Development.
• Proven experience with graph databases such as Neo4j or AWS Neptune.
• Proficiency in Cypher, Gremlin, or SPARQL query languages.
• Strong understanding of P&ID structures, ISA standards, and process engineering concepts.
• Experience with data extraction from engineering drawings (OCR, CAD parsing).
• Familiarity with industrial ontologies and semantic modeling (ISO 15926, OPC UA).
• Experience with AWS or Azure.
• Knowledge of Docker and Kubernetes.

Preferred Skills

• Experience in Oil & Gas digital transformation projects.
• Knowledge of Industrial IoT platforms and data integration.

Key Skills

Education

Bachelor's or Master's degrees