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Temporary/Casual
Technology
MB

Data Engineer

McGregor BoyallManchester, Greater Manchester🇬🇧United KingdomPosted 7 Sept 2026

Why This Role Stands Out

You will build scalable data pipelines and AI-ready knowledge solutions within a leading financial services organization, gaining valuable experience with cutting-edge technologies like Neo4j and vector databases. This hybrid role offers a competitive daily rate of up to £800 and is perfect for an experienced Data Engineer looking to make a significant impact on enterprise data transformation. Apply now to leverage your Python, SQL, and knowledge graph expertise in this exciting opportunity!

Quick Overview

Seniority
Mid Senior
Employment type
Temporary/Casual
Work mode
Hybrid
Location
Manchester, Greater Manchester, United Kingdom
Posted
3 days ago
Neo4jSQLETLBigQueryLLMPython

Job Description

Data Engineer
Financial Services
Location: Bristol, Leeds, Manchester or Edinburgh
Duration: 3 months initially (likely extension)
Rate: Up to £800 p/d inside IR35 (via umbrella)

The Role
Major Financial Services organisation looking for an experienced Data Engineer to build scalable data pipelines and knowledge solutions supporting an Enterprise Knowledge Base (EKB).

You'll work across data ingestion, enrichment, indexing and knowledge graphs, transforming enterprise data into searchable, governed and AI-consumable formats.

Key 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

Key Requirements

  • Strong commercial Data Engineering experience
  • Strong Python and SQL
  • Experience with BigQuery, Spanner and/or similar cloud data platforms
  • Hands-on Neo4j / Knowledge Graph experience
  • Experience with Vector Databases, Search or Indexing
  • Strong understanding of data modelling and governance
  • Experience supporting AI, LLM or RAG use cases

Nice to have:

  • Enterprise Knowledge Management / Knowledge Base experience
  • Semantic Search
  • Large-scale Search platforms
  • AI/LLM and RAG experience
  • Financial Services experience

Deadline for applications is Tuesday 8th Sept at 12pm

Get in touch for more details –

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