Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure
Job Summary
Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Join us as a GenAI Engineer at Barclays where you will be responsible for building, implementing, and optimizing GenAI solutions across Data-as-a-Service landscape.
The role is hands-on, delivery-focused, and essential in accelerating adoption of GenAI capabilities across the organization.
Matching Summary
Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Skills & Requirements
Must-have
GenAI solutions
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Python programming
API and SDK integration
Data modelling and schema design
Nice-to-have
Linux commands and Bash scripting
CI/CD pipelines and GitLab workflow
SonarQube for code quality
Cloud platforms understanding
Agile environments experience
Key Requirements
Proficiency in Python
Oracle/SQL database querying skills
Unix knowledge
Experience with embeddings and model fine-tuning
Experience with Synthetic Data Generation algorithms
Understanding of Data Masking and Anonymisation techniques