10 Contract Data Modelling Jobs in the North of England

with specific and strong database design experience (4-5 years) The Role: The crux of the job is to design, build, test and deploy data APIs for downstream consumers to access the data on Google BigQuery Warehouse. The Data Engineer will also optimise data and API … granularity, flexibility and autonomy with the use of materialised views, query parameters, schema design partitions, indexes, down-sampling, etc. To manage trade-offs between data volumes, scope, timing and performance. Design, build, test and deploy Google Cloud data models and transformations in BigQuery, Datafusion environment (eg SQL, stored … procedures, indexes, clusters, partitions, triggers, etc.) Optimize data views for specific visualization use cases making use of schema design partitions, indexes, down-sampling, archiving, etc. to manage trade-offs such as performance and flexibility Protect the solution with appropriate Authorization and Authentication models, data encryption and other security more »

TRAVEL TO BARROW DURATION: 6 MONTH INITIAL CONTRACT IR35 STATUS: INSIDE Required skills:3+ years of Mendix development experience Nice to have skills:Teamcenter data model understanding LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK more »

the evolving world of cloud, digital and platforms. Role purpose/summary Design and develop API services that enable seamless integration with our party data model data platform. Implement robust and scalable API solutions that adhere to industry best practices and standards. Ensure the security, reliability, and performance … of the API services, including handling data validation, authentication, authorization, and error handling. Optimize API performance and scalability to meet the growing demands of our data platform. Key Skills/requirements Strong experience in designing and implementing API services for data platforms. Proficiency in popular API technologies … such as RESTful APIs, GraphQL, or gRPC. Solid understanding of data models and database concepts. Familiarity with data integration processes and tools. Strong programming skills in one or more languages commonly used for API development (e.g., Python, Java) Experience with API documentation tools and standards (e.g., OpenAPI/ more »

Service Modeler Duration: 12 Months Location: Sheffield - Hybrid - 70% in office Responsibilities: Design and develop API services that enable seamless integration with our party data model data platform. Implement robust and scalable API solutions that adhere to industry best practices and standards. Ensure the security, reliability, and performance … of the API services, including handling data validation, authentication, authorization, and error handling. Optimize API performance and scalability to meet the growing demands of our data platform. Required Skills: Strong experience in designing and implementing API services for data platforms. Proficiency in popular API technologies such as … RESTful APIs, GraphQL, or gRPC. Solid understanding of data models and database concepts. Familiarity with data integration processes and tools. Strong programming skills in one or more languages commonly used for API development (eg, Python, Java) Experience with API documentation tools and standards (eg, OpenAPI/Swagger). more »

digital and platforms. Role purpose/summary Collaborate with stakeholders to understand business requirements and translate them into effective solution designs for our party data model data platform. Architect and implement cloud-based solutions that leverage popular data platforms to enable efficient storage, processing, and analysis of … large-scale data. Design scalable and resilient architectures that ensure high availability, fault tolerance, and disaster recovery for our data platform. Assess and select appropriate data platforms and technologies based on functional and non-functional requirements, considering factors such as performance, scalability, security, and cost-effectiveness. Provide guidance … of the solution design. Key Skills/requirements Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or more »

Job summary The Senior Data Engineer will have direct oversight and responsibility for the development, implementation, review, and establishment of data and techniques used in the Advanced Data Analytics Portfolio (DAP). As a Senior Data Engineer, you will work with project managers, data scientists … senior management across the full extent of the NHSCFA and our wider stakeholders in pursuit of the above. Your primary responsibilities will include developing data pipelines, processing data, and preparing data suitable for analysis. Additionally, you will evaluate, maintain, and manage data pipelines, develop and maintain … data models, and support the design of analytical services, products, and models that meet the needs of NHSCFA. You will also guide, develop, document, and maintain data pipelines and storage solutions used in the analytics environment, ensuring that the infrastructure and methods are secure, optimised, and scalable within more »

Responsibilities: Collaborate with stakeholders to understand business requirements and translate them into effective solution designs for our party data model data platform. Architect and implement cloud-based solutions that leverage popular data platforms to enable efficient storage, processing, and analysis of large-scale data. Design scalable and … resilient architectures that ensure high availability, fault tolerance, and disaster recovery for our data platform. Assess and select appropriate data platforms and technologies based on functional and non-functional requirements, considering factors such as performance, scalability, security, and cost-effectiveness. Provide guidance and technical leadership to development teams … accurate implementation of the solution design. Required Skills: Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or more »

the Atlassian toolset would be advantageous Knowledge within the Mission management and Autonomy fields is advantageous Requirements Management (DOORS) System Definition (SysML/CAMEO) Data Modelling SysML/UML Auto Code Generation System/Software Re-Use the candidate should be able to demonstrate Willingness to tackle difficult more »

2. Design and develop custom low-code solutions using Microsoft Power Apps, including canvas apps, model-driven apps, and portals. 3. Customize and extend data models, user interfaces, and business processes within Power Apps. 4. Integrate Power Apps with other Microsoft and third-party services, such as Power Automate … solutions using Microsoft Power Apps. 3. Strong understanding of Power Apps capabilities, including canvas apps, model-driven apps, and portals. 4. Proficiency in configuring data sources, entities, and relationships within the Power Apps environment. 5. Experience integrating Power Apps with other Microsoft services (e.g., Power Automate, SharePoint, Dynamics more »

Role Title: Data Scientist Duration: 6 Months Location: Sheffield (Hybrid 2 days a week in the office) Rate £580- Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth … of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilise knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future more »