Enterprise Data Engineer: Pipelines, Graphs & AI-Ready Data

Savant Recruitment Experts; England; On-site; GBP 65,000 - 90,000; Full time

Job summary

Savant Recruitment Experts is seeking an experienced Data Engineer 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 to support enterprise search, knowledge graphs and AI systems.

Collaboration with Data Scientists and Backend Engineers will ensure data quality, governance and scalable performance across distributed cloud

Qualifications

• Experience building and operating enterprise-scale data pipelines.
• Strong expertise with graph databases and cloud data platforms.
• Proficiency in data governance and metadata management practices.

Responsibilities

• Build and operate large-scale data ingestion and transformation pipelines.
• Develop ETL/ELT processes for diverse 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.
• Support enterprise search indexing and information retrieval.
• Ensure data quality, governance and lineage across the platform.
• Optimize data pipelines and platforms for performance and scalability.
• Collaborate with Data Scientists and Backend Engineers to enable AI-ready data.

Skills

Python

SQL

Google Spanner

Neo4j

Graph Databases

BigQuery

Metadata management

Event-driven architecture

Enterprise search indexing

Data governance

Distributed systems

Performance optimization

Job description

Savant Recruitment Experts is seeking an experienced Data Engineer 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 to support enterprise search, knowledge graphs and AI systems.

Collaboration with Data Scientists and Backend Engineers will ensure data quality, governance and scalable performance across distributed cloud