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# Data Engineer

- **Company:** Savant Recruitment
- **Location:** UK
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Big Data, BigQuery, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Systems, Distributed Data Store, Distributed Systems, Graph Database, Information Retrieval, Python (Programming Language), Meta-Data Management, Neo4j, Cloud Services, Standard Sql, Enterprise Search, Data Processing, Indexer, Backend, Event Driven Architecture, Data Lineage, Data Pipelines
- **Published:** August 26, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-5049B9D2D8937EFD1C/

## About the Role

* Python and SQL
 * Google Spanner
 * Neo4j/Graph Databases
 * Knowledge Graph Engineering
 * ETL/ELT pipelines
 * BigQuery
 * Data modelling
 * Metadata management
 * Data cataloguing
 * Vector databases
 * Event-driven architecture
 * Enterprise search indexing
 * Data governance and quality
 * Data lineage
 * Distributed systems
 * Performance and scalability optimisation

## Description

We are looking for experienced Data Engineers to build and operate enterprise-scale data pipelines that transform disparate organisational knowledge into structured, searchable and AI-ready formats. You will work across ingestion, enrichment, indexing and storage, helping create the underlying data infrastructure required to support enterprise search, knowledge graphs and AI systems., * Build and operate large-scale data ingestion and transformation pipelines.

 * Develop ETL/ELT processes for disparate enterprise data sources.
 * Design data structures supporting enterprise knowledge and AI use cases.
 * Develop and maintain knowledge graph capabilities.
 * Work with graph and vector-based data technologies.
 * Implement metadata management and data cataloguing capabilities.
 * Support enterprise search indexing and information retrieval.
 * Ensure data quality, governance and lineage across the platform.
 * Design event-driven data processing solutions.
 * Optimise data pipelines and platforms for performance and scalability.
 * Work with distributed data systems and cloud data platforms.
 * Collaborate with Data Scientists, Backend Engineers and business stakeholders to make enterprise knowledge accessible and usable.


## Related Videos

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- [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library)
- [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
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- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)

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