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# CONTRACT DATA ENGINEER - INSIDE IR35

- **Company:** Searchability
- **Location:** Lees, UK
- **Salary:** £195,000.0 - £208,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Big Data, BigQuery, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Retrieval, Python (Programming Language), Standard Sql, SQL Databases, Enterprise Search, Enterprise Data Management, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Generative AI, Indexer, Event Driven Architecture, Apache Kafka, Data Management, Data Pipelines
- **Published:** September 7, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5872937585

## About the Role

* Strong commercial GCP experience
 * Excellent Python and SQL skills
 * Strong Kafka / event-driven architecture experience
 * Experience working within large-scale enterprise environments
 * Exposure to AI/LLM and RAG solutions
 * Experience with BigQuery, vector databases, graph technologies or enterprise search would be beneficial

This is an excellent opportunity to work on a major enterprise programme at the intersection of data engineering, cloud and Generative AI., Data Engineer / GCP / Google Cloud Platform / Python / SQL / Kafka / AI / Generative AI / GenAI / LLM / Large Language Models / RAG / Retrieval-Augmented Generation / ETL / ELT / Data Pipelines / BigQuery / Vector Databases / Enterprise Search / Data Engineering / Enterprise Data

## Description

You'll be working within a complex, enterprise-scale environment, building the data pipelines and platforms that underpin AI/LLM and Retrieval-Augmented Generation (RAG) solutions.
WHAT YOU'LL BE DOING

 * Designing and building scalable ETL/ELT data pipelines
 * Developing cloud-native data solutions within GCP
 * Engineering data platforms to support AI/LLM and RAG solutions
 * Building large-scale data ingestion, processing and enrichment capabilities
 * Developing event-driven architectures using Kafka
 * Building automation and data engineering solutions using Python and SQL
 * Supporting enterprise search, indexing and data retrieval capabilities
 * Ensuring data quality, governance, lineage and scalability


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