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# Data Engineer

- **Company:** Redhorse International
- **Location:** London, UK
- **Salary:** £51,355.0 - £106,847.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Data Architecture, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Systems, Knowledge Management, Neo4j, Data Processing, Snowflake, Apache Spark, Data Pipelines, Service Stack, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5852362951

## About the Role

* We require demonstrable experience working with big data sets in highly available environments.
 * We require full data engineering lifecycle experience.
 * We require experience delivering end-to-end data solutions for graph, analytics, or knowledge management platforms.
 * We require a strong understanding of the full data architecture stack, including optimisations and efficiencies.
 * We require experience integrating workflow applications and analytics into a coherent architecture.
 * We require technical team leadership experience and confidence in delivery.
 * We require knowledge of graph or analytics technology stacks or AI data processing, including entity resolution, Neo4J, Databricks, Spark, Snowflake, ETL, and data pipelines.
 * We require British citizenship.
 * We require the ability to obtain security clearance.

## Description

* We design and implement data pipelines from diverse sources across the full data lifecycle.
 * We maintain data products while ensuring data integrity, accessibility, scalability, and security.
 * We deliver data solutions for graph, analytics, or knowledge management platforms.
 * We optimise and improve the full data architecture stack.
 * We integrate workflow applications and analytics into a coherent architecture.
 * We support technical delivery as part of our initial Data Practice.
 * We collaborate with colleagues and partners while learning and shaping the evolution of our practice.

Technologies:

 * AI
 * Big Data
 * Databricks
 * ETL
 * Support
 * Neo4J
 * Security
 * Snowflake
 * Spark


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