2 of 2 Physical Data Model Jobs in the Midlands

Senior Data Engineer, Databricks, £ 60000 - 65000 + benefits. Strong Performant SQL and Databricks required. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks and Performant SQL is required for this role. Knowledge of testing, the finance sector or energy sector is a distinct advantage. Expanding SaaS product company are looking for … a number of Senior Data Engineers as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and … high performant code. Responsibilities include - Work with the Data Architects and Data team to determine technical delivery and functionality. Design data solutions based on optimal performance, scalability and reliability. Create, optimise and maintain logical and physical data models, including data warehouses and data lakes. Design and manage the data integration process. Work More ❯

Role Overview We are seeking an experienced Data Architect to work closely with business and technology stakeholders, translating their needs into scalable, performant, and reliable data-driven solutions. You will design enterprise-wide data architectures, develop governance strategies, and deliver modern data capabilities that enable actionable insights and long-term business value. Key Responsibilities Partner with … stakeholders to identify requirements, conduct discoveries, and design data-driven solutions that align with business and technology strategies. Translate complex technical concepts into clear, concise insights for stakeholders. Design and implement enterprise-wide data architectures, ensuring scalability, security, and performance. Define and develop data strategies, governance frameworks, and operating models spanning technology, people, and processes. Build and … maintain conceptual, logical, and physical data models for databases, data warehouses, and data lakes. Enable seamless data integration across platforms using APIs, middleware, and event-driven architectures, incorporating structured, semi-structured, and unstructured data sources. Contribute to the development and productionisation of new data capabilities through discovery, prototyping, and solution delivery. Deliver customer More ❯