Data Engineer

McGregor Recruitment; Manchester; On-site; GBP 128,000 - 168,000; Full time

Job summary

McGregor Recruitment is recruiting a Data Engineer for a major Financial Services client. Location options include Bristol, Leeds, Manchester or Edinburgh, with an initial 3-month duration and potential extension.

The role focuses on building scalable data pipelines and knowledge solutions to support an Enterprise Knowledge Base. You will handle data ingestion, enrichment, indexing and knowledge graphs, transforming enterprise data into searchable, governed formats for AI consumption.

Qualifications

• Formal data engineering experience in a commercial setting.
• Strong Python and SQL capabilities.
• Experience with cloud data platforms such as BigQuery and Spanner.
• Hands-on Neo4j and Knowledge Graph experience.
• Experience with vector databases, search or indexing.
• Knowledge of data modelling, governance and lineage.
• Experience supporting AI/LLM/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

BigQuery

Spanner

Neo4j

Knowledge Graphs

Vector Databases

Search / Indexing

Data Modelling

Data Governance

AI / LLM / RAG

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 – [e-mail]