Data Engineer: Enterprise AI & Knowledge Platform

Vertus Partners; Manchester; On-site; GBP 129,000 - 148,000; Full time

Benefits offered by this job

Long-term programme

Enterprise AI initiatives

High ownership

Job summary

Vertus Partners is seeking a Data Engineer to build the data foundations for enterprise AI and knowledge management platforms. The role focuses on data pipelines, search infrastructure, and knowledge management solutions that turn complex enterprise information into trusted, AI-ready assets.

This hands-on engineering position involves delivering scalable data ingestion, transformation pipelines, and knowledge graph capabilities that support AI, analytics and information retrieval initiatives.

Qualifications

• Proficiency in designing scalable data pipelines using Python and SQL.
• Experience with modern cloud-based data platforms and distributed architectures.
• Knowledge of search technologies, indexing or information retrieval platforms.
• Understanding of data governance, lineage and metadata management.

Responsibilities

• Designing and building scalable data ingestion and transformation pipelines across multiple enterprise data sources.
• Developing solutions that support AI, search, analytics and knowledge management use cases.
• Building and maintaining knowledge graph capabilities to model relationships across complex business data.
• Enhancing enterprise search and indexing performance to improve information discovery and retrieval.
• Implementing metadata, data quality and governance controls across large-scale datasets.
• Working closely with AI engineers, architects, data specialists and business stakeholders to deliver reliable data products.

Skills

Python

SQL

Cloud platforms

Distributed architectures

Search technologies

Indexing

Data governance

Metadata management

Tools

BigQuery

Neo4j

Job description

Vertus Partners is seeking a Data Engineer to build the data foundations for enterprise AI and knowledge management platforms. The role focuses on data pipelines, search infrastructure, and knowledge management solutions that turn complex enterprise information into trusted, AI-ready assets.

This hands-on engineering position involves delivering scalable data ingestion, transformation pipelines, and knowledge graph capabilities that support AI, analytics and information retrieval initiatives.