Data Engineer

We are looking for experienced Data Engineers to build and operate enterprise-scale data pipelines that transform disparate organisational knowledge into structured, searchable and AI-ready formats. You will work across ingestion, enrichment, indexing and storage, helping create the underlying data infrastructure required to support enterprise search, knowledge graphs and AI systems.

Key Responsibilities

• Build and operate large-scale data ingestion and transformation pipelines.
• Develop ETL/ELT processes for disparate enterprise data sources.
• Design data structures supporting enterprise knowledge and AI use cases.
• Develop and maintain knowledge graph capabilities.
• Work with graph and vector-based data technologies.
• Implement metadata management and data cataloguing capabilities.
• Support enterprise search indexing and information retrieval.
• Ensure data quality, governance and lineage across the platform.
• Design event-driven data processing solutions.
• Optimise data pipelines and platforms for performance and scalability.
• Work with distributed data systems and cloud data platforms.
• Collaborate with Data Scientists, Backend Engineers and business stakeholders to make enterprise knowledge accessible and usable.

Key Skills & Experience

• Python and SQL
• Google Spanner
• Neo4j/Graph Databases
• Knowledge Graph Engineering
• ETL/ELT pipelines
• BigQuery
• Data modelling
• Metadata management
• Data cataloguing
• Vector databases
• Event-driven architecture
• Enterprise search indexing
• Data governance and quality
• Data lineage
• Distributed systems
• Performance and scalability optimisation