11 of 11 ETL Jobs in Cambridgeshire

submissions, NHS performance reporting or large-scale data quality improvement Experience of supporting Epic upgrades, regression testing or data model change assessment Experience of ETL processes to move data between databases Knowledge Expert understanding of the role of reporting and analytics in supporting clinical care, operational management, performance monitoring and ...

submissions, NHS performance reporting or large-scale data quality improvement Experience of supporting Epic upgrades, regression testing or data model change assessment Experience of ETL processes to move data between databases Knowledge Essential Expert understanding of the role of reporting and analytics in supporting clinical care, operational management, performance monitoring ...

platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content preparation (SharePoint, file shares, Teams) for retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing ...

Software FME Form and FME Flow (certifications are highly desirable) including: Support pre-sales activities, workshops and customer demonstrations where required. Data migration and ETL workflows Data validation, cleansing and transformation Workflow automation and integration design Performance optimisation and troubleshooting Additional desirable skills and experience includes: 1Spatial 1Integrate/1DataGateway ...

would be effective, although practical experience is equally valuable. “Nice to Have” Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow‐orchestration technologies. Machine‐learning methods such as forecasting, prediction or classification. Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis. Experience ...

would be effective, although practical experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction or classification. Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis. Experience ...

holiday entitlement, Health and wellbeing programme, health cash plans + dozens more. Potential bonus Experience: Microsoft Power Platform (Power Automate and PowerApps) Data Modelling ETL processes Experience with Reporting tools like Power BI, SSRS etc SQL Server Desirable tech – Azure, .NET, GIT, Azure DevOps Effectively, this role is responsible ...

data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes, big data tools like Spark). Knowledge of designing scalable, distributed systems. Familiarity with model lifecycle management and MLOps practices. Ability to align ...

evaluate and deploy data and analytics solutions. Analyse and evaluate data from a variety of internal and external data sources, design, test and implement ETL processes. Build and maintain data pipelines, orchestrate and schedule ETL from a variety of data sources to a central data repository. Transform data, monitor and ...

agile practices and frequent updates. Design end-to-end data solutions: ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis … and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that ...