3 of 3 Remote Azure Data Factory Jobs in Birmingham

You will work with Customer Service, Finance, HR, and divisions to generate valuable management information. Collaborating with a diverse team of technical and data specialists, you will improve reporting capabilities and ensure thorough documentation of any changes to reporting solutions. Your role will be vital in developing and … in the office either in Leeds, Birmingham or Cardiff. Key Responsibilities: You will be an authoritative voice identifying opportunities for improving the way data is sourced and stored in the data warehouse. Work closely with the Performance Analysts, Lead BI Developer, CRM and SharePoint specialists to … from key systems (case management, telephony, finance and HR). Assess requirements, design solutions, document models, and deliver ETL solutions using SSIS and Azure Data Factory. Develop and modify existing ETL models to support changes to the business process or emerging business needs. Maintain and develop More ❯

Data Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory … for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. … Strong experience in data preprocessing, feature selection, and statistical modelling. Experience communicating complex findings to both technical and non-technical stakeholders. If you are interested and looking for your next role, please apply directly or email . More ❯

Data Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory … for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. … Strong experience in data preprocessing, feature selection, and statistical modelling. Experience communicating complex findings to both technical and non-technical stakeholders. If you are interested and looking for your next role, please apply directly or email (url removed More ❯