Data Engineer: Scalable ETL & Knowledge Graphs for AI

McGregor Boyall; Manchester; On-site; GBP 89,000 - 148,000; Full time

Job summary

McGregor Boyall is seeking an experienced Data Engineer for a 3-month contract in the Financial Services sector, with multiple delivery locations including Manchester. The role focuses on building scalable data pipelines and knowledge solutions to support an Enterprise Knowledge Base (EKB).

You will ingest, enrich, index and transform enterprise data into searchable, governed formats and AI-ready outputs, leveraging Python, SQL and modern cloud platforms.

Qualifications

• Proficient Python and SQL development.
• Experience with data modelling and governance.
• Experience supporting AI, LLM or RAG use cases.

Responsibilities

• Build scalable ETL/ELT pipelines using Python and SQL.
• Work with BigQuery, Google Spanner, Neo4j and Vector Databases.
• Design and implement Knowledge Graphs.
• Develop enterprise search, indexing and retrieval capabilities.
• Build data models, metadata and enrichment processes.
• Implement event-driven and real-time data architectures.
• Ensure data quality, governance, lineage and traceability.
• Optimise platform performance and scalability.

Skills

Python

SQL

Knowledge Graphs

AI/LLM integration

Tools

BigQuery

Spanner

Neo4j

Vector Databases

Job description

McGregor Boyall is seeking an experienced Data Engineer for a 3-month contract in the Financial Services sector, with multiple delivery locations including Manchester. The role focuses on building scalable data pipelines and knowledge solutions to support an Enterprise Knowledge Base (EKB).

You will ingest, enrich, index and transform enterprise data into searchable, governed formats and AI-ready outputs, leveraging Python, SQL and modern cloud platforms.