Exeter, Devon, South West, United Kingdom Hybrid / WFH Options
Bowerford Associates
on experience with integration engines such as Rhapsody, Mirth Connect, Health Connect or similar. Familiarity with NHS systems, workflows and national standards (e.g., Spine, GP Connect, SNOMEDCT). Confident problem-solver, with the ability to identify, diagnose and resolve complex issues. Excellent communication skills and ability to build effective relationships with clients. Experience producing high-quality … Perks and Discounts Platform. Keywords Integration Consultant, Healthcare Services, NHS Systems, Interoperability, HL7, FHIR, APIs, Healthcare Messaging Standards, Rhapsody, Mirth Connect, Health Connect, Spine, GP Connect, SNOMEDCT, Data Integration. Please note, to be considered for this role you MUST have the Right to Work in the UK long-term without Company Sponsorship. Please note that due More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance More ❯
