5 of 5 Data Modelling Jobs in Sheffield

Location : Sheffield Contract Type : Permanent Hours : Full time Salary : £45,000 - £60,000 p/a depending on experience The Data Migration Specialist is responsible for managing and delivering high-quality data migrations from legacy Case/Practice Management Systems (CMS/PMS) into our platform. This role … owns the end-to-end migration lifecycle: extraction, transformation, validation, reconciliation, and loading of data using API-led and ETL approaches. In addition, this role will advise on and help shape an internal data warehouse that will act as the foundation for migration preparation, cleansing, auditability ...

hands-on architectural leadership to engineering teams, ensuring design consistency and adherence to standards Govern solutions through architecture review boards , ensuring compliance with security, data, and infrastructure standards Identify and mitigate technical risks , including performance, scalability, and security concerns Collaborate with vendors and third parties to define interoperability models … architecture Integration: RESTful APIs, OpenAPI specs, messaging systems (Kafka, MQ), asynchronous processing Cloud & Infrastructure: Cloud-native design, containerisation (Docker, Kubernetes), CI/CD pipelines Data: Distributed data systems, RDBMS/NoSQL, data modelling, data consistency patterns Security: Secure-by-design principles, IAM, encryption, threat modelling ...

week. Responsibilities Drive business analysis and requirements gathering by engaging with senior stakeholders, translating business needs into clear, actionable deliverables for AI. Apply data modelling expertise to optimise the AI use case lifecycle, identifying opportunities to streamline processes, improve efficiency, and accelerate time-to-market while maintaining strong … success by proactively resolving product and process queries, ensuring a seamless user experience and continuously incorporating feedback to enhance the product Collaborate with AI, data, risk, and governance teams to ensure alignment with responsible-AI principles and regulatory expectations Support documentation, reporting, and ongoing optimisation of AI lifecycle processes ...

business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high-quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable … automated testing and deployment. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Leverage LLMs and AI-assisted tools to accelerate insight generation, documentation, and development workflows. Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands ...

Skills- Expert-Level Splunk Experience: Proven ability to create advanced dashboards in both Splunk Enterprise and Splunk ITSI . Large-Scale Data Handling: Must have experience with high-volume data environments, including the challenges of indexing and searching trillions of records. In-Depth Technical Knowledge: A strong understanding … Splunk architecture, data models, and best practices for performance and scalability. Observability Mindset: While Splunk is the primary skill, the candidate should also be familiar with modern observability concepts and principles. Analytical Thinking: Strong problem-solving skills and the ability to derive meaningful insights from complex datasets are essential. ...