Data Engineer – Greenfield AI & Knowledge Platform (Hybrid)

Pontoon; Manchester; Hybrid; GBP 60,000 - 95,000; Full time

Job summary

Pontoon is seeking a Data Engineer to join a major UK financial services programme, building a new enterprise knowledge platform from scratch. You’ll transform data into trusted, searchable assets and contribute to AI-ready data foundations for enterprise search and RAG applications.

The role involves designing scalable pipelines, knowledge graphs and metadata processes, with Python/SQL development across cloud-native platforms.

Qualifications

• Design and build scalable ETL/ELT data pipelines across multiple enterprise data sources.
• Develop data solutions using BigQuery, Google Spanner, Neo4j and vector databases.
• Build and maintain Knowledge Graphs connecting enterprise entities, systems and knowledge assets.
• Develop and optimise search indexing to improve knowledge discovery and retrieval.
• Implement metadata, cataloguing and enrichment capabilities.
• Develop robust data models for AI, analytics and knowledge management.
• Build event-driven data pipelines supporting real-time ingestion and processing.
• Ensure strong data quality, governance, lineage and traceability.
• Use Python and SQL to develop automation and data engineering solutions.
• Monitor and optimise data platform performance, scalability and reliability.

Responsibilities

• Design and build scalable ETL/ELT data pipelines across multiple enterprise data sources.
• Develop data solutions using BigQuery, Google Spanner, Neo4j and vector databases.
• Build and maintain Knowledge Graphs connecting enterprise entities, systems and knowledge assets.
• Develop and optimise search indexing to improve knowledge discovery and retrieval.
• Implement metadata, cataloguing and enrichment capabilities.
• Develop robust data models for AI, analytics and knowledge management.
• Build event-driven data pipelines supporting real-time ingestion and processing.
• Ensure strong data quality, governance, lineage and traceability.
• Use Python and SQL to develop automation and data engineering solutions.
• Monitor and optimise data platform performance, scalability and reliability.
• Work closely with AI Engineers, Data Scientists, Architects, Governance teams and business stakeholders

Skills

Python

SQL

Data pipelines

Data modelling

Knowledge graphs

Cloud platforms

Tools

BigQuery

Google Spanner

Neo4j

Vector databases

Job description

Pontoon is seeking a Data Engineer to join a major UK financial services programme, building a new enterprise knowledge platform from scratch. You’ll transform data into trusted, searchable assets and contribute to AI-ready data foundations for enterprise search and RAG applications.

The role involves designing scalable pipelines, knowledge graphs and metadata processes, with Python/SQL development across cloud-native platforms.