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Here's a concise, SEO-optimized summary for the given job listing: --- **Job Title:** Data Engineer **Job Description:** - **Role Overview:** - We're seeking an experienced Data Engineer to build scalable data pipelines and knowledge solutions supporting an Enterprise Knowledge Base (EKB), ingesting, enriching, indexing, and transforming enterprise data into searchable and AI-consumable formats. - **Key Responsibilities:** - Design and develop scalable ETL/ELT pipelines using Python and SQL. - Work with various databases and technologies such as BigQuery, Google Spanner, Neo4j, and Vector Databases. - Design and implement Knowledge Graphs to connect related data. - Develop enterprise search, indexing, and retrieval capabilities. - Build data models, metadata, and enrichment processes to enhance data quality and governance. - Optimize platform performance and scalability. - **Key Requirements:** - Proven experience in commercial Data Engineering. - Strong Python and SQL skills. - Hands-on experience with BigQuery, Spanner, or similar cloud data platforms. - Experience with Neo4j or other knowledge graph databases. - Experience with Vector Databases, search engines, or indexing. - Strong understanding of data modeling, data quality, and data governance. - **Nice to have:** - Experience in Financial Services or Enterprise Knowledge Management. - **Job Details:** - Duration: 3 months initially (likely extension) - Rate: Up to £800 p/d inside IR35 (via umbrella) - Location: Bristol, Leeds, Manchester, or Edinburgh
- Compensation
- £800 – £800 GBP
- City
- Manchester, Bristol, Leeds, Edinburgh
- Country
- United Kingdom
Currency: £ (GBP)
Full Job Description
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Job Details
Data Engineer
- 800.00 per day
- Manchester, M2 4PD, England, United Kingdom
- Contract
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 ncarolan@mcgregor-boyall.com
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