3 of 3 Contract Data Modelling Jobs in Sheffield

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 ...

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 ...

strong mobile-first mindset, you will empower application teams to efficiently build and integrate services on the platform. You will also leverage usage data and insights to influence strategic decisions and future investment priorities. Key Responsibilities Define and drive the overall mobile platform strategy, aligning it with organisational … roadmap for core mobile platforms and supporting services, ensuring delivery of key capabilities. Evaluate and recommend build vs. buy approaches for platform components. Use data and analytics to guide product decisions, enhancements, and long-term direction. Act as the central point of contact between technical teams and business stakeholders ...