3 of 3 Data Pipeline Jobs in Derbyshire

Data Analyst We are looking for a Data Analyst to improve data quality, governance, and availability across the business. You will help create gold datasets, establish lightweight governance, and automate quality checks to support accurate, trusted reporting. Key Responsibilities Inventory and profile existing data sources (apps, databases, files, SaaS). Design and implement data cleansing and standardisation pipelines. Maintain data dictionaries, lineage diagrams, and semantic layers. Establish pragmatic governance: data ownership, KPIs, thresholds, and access controls. Implement automated data quality checks, dashboards, and root ...

work on cutting‐edge AI initiatives as organisations accelerate their adoption of artificial intelligence across industries. You will collaborate with experienced engineers and data scientists, leveraging modern AI, machine learning, and Generative AI technologies to build scalable, production‐ready solutions while continuously learning and experimenting with emerging tools … approaches. Your responsibilities: Assist in designing, building, and maintaining scalable data pipelines for structured and unstructured data. Develop, train, and evaluate machine learning and deep learning models, including neural networks. Work with Large Language Models (LLMs) for tasks such as text generation, summarisation, and semantic analysis. Contribute ...

Advanced Engineering/AI What You’ll Be Doing: Design and deliver full-stack, cloud-native AI applications across front end, APIs, and data layers Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating … building AI/ML systems, particularly RAG or agent-based architectures Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines) Data engineering knowledge including pipelines, schema design, and observability Experience with software testing, performance optimisation, and production monitoring Understanding of secure development practices, identity ...