Data Engineer

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 –