10 of 10 ETL Jobs in Cambridgeshire

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 ...

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 ...

Flows Primary owner for production systems/data flows reliability, monitoring, and issue resolution. Work with DBA & Systems Development Engineer to troubleshoot SQL/ETL job failures that impact production reporting or operational decision-making. Day-to-Day Housekeeping Daily health checks on production data flow Daily review of production ...

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 ...

documenting requirements from non-technical users and translating them into effective technical solutions. Strong Excel skills and a sound understanding of data modelling and ETL processes. Knowledge of T-SQL and database management, together with proficiency in DAX and Power Query M. A quick learner, keen to develop across ...

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 ...

Flows Primary owner for production systems/data flows reliability, monitoring, and issue resolution. Work with DBA & Systems Development Engineer to troubleshoot SQL/ETL job failures that impact production reporting or operational decision-making. Day-to-Day Housekeeping Daily health checks on production data flow Daily review of production ...

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 ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...

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 ...