Data Engineer – Ir35

DATA ENGINEER – GCP / PYTHON / SQL / KAFKA / AI

£750–£800 per day | Inside IR35 | 3-month initial contract | Manchester or Leeds | Hybrid

• £750–£800 per day
• Inside IR35
• Initial 3 months with likely extensions
• Manchester or Leeds
• 2 days per week on-site

We’re looking for an experienced Data Engineer to join a major enterprise data and AI transformation programme, working through a leading Managed Service Provider.

This is an initial 3-month contract with likely extensions, offering £750–£800 per day Inside IR35 and requiring 2 days per week on-site in Manchester or Leeds.

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.

• 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

• 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 Big Query, 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 / Big Query / Vector Databases / Enterprise Search / Data Engineering / Enterprise Data