Sector: Analytics / Data

Location: International

Type: Interim

Ref: BBBH72752_1787752271

Salary: Negotiable

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