1 to 5 of 5 Azure Data Factory Jobs in Yorkshire

Azure Data Engineer - Hybrid working Are you an experienced Azure Data Engineer eager to make a significant impact at a top managed service provider? We’re seeking a talented individual to join a key reporting project, driving digital transformation through the Microsoft … cloud stack. Role Overview: As an Azure Data Engineer, you’ll be directly involved in delivering value to internal clients, aiding the business in adopting new systems. You will utilise Azure's advanced tools to design and implement innovative data solutions. The … Ideal Candidate skillset: Strong expertise in Azure Data Platform, including Data Lake, Synapse, and Data Factory. Proficient in Power BI and knowledgeable about Dynamics 365 ERP/CRM data models. Skilled in data integration, SQL, Python, and Azure more »

Lead Data Engineer: We need some strong Lead data engineer profiles… they need good experience with Python, SQL, ADF and preferably Azure Databricks experience Job description: Building new data pipelines and optimizing data flows using the Azure cloud … stack. Building data products from scratch. Support Business Analysts and Data Architects with discovery and best practices. Self-directed and comfortable supporting the data needs of multiple teams, systems and products. What’s required ? Advanced Azure knowledge and experience working and migrating … data products from on-prem to Azure. Experience building and optimizing ‘big data' data pipelines, architectures and data sets using Py-spark. Experience building real-time data pipelines using Event-hub, storage queues and Azure stream analysis. Strong more »

Job Designation: Senior Data Migration and BI/Analytics Specialist Job Type: 6 Months FTE Job Location: Leeds, UK Roles & Responsibilities: Be a part of an end-to-end data migration projects, ensuring data integrity and quality. Develop, implement, and optimize ETL/ELT … processes using ODI, OBIEE, Workato and PL/SQL. Design and build data solutions on Azure, leveraging Databricks, Data Factory, and other Azure services. Utilize Python and PySpark for data transformation, analysis, and real-time streaming. Collaborate with … cross-functional teams to gather requirements, design solutions, and deliver insights. Implement and maintain CI/CD pipelines using Azure DevOps. Create and manage technical documentation, including data models, process flows, and solution designs. Troubleshoot and resolve issues related to data integration, storage, and more »

Job summary The Office of Data & Analytics mission is to deliver insight through innovation in data and analytics services and its key function is to provide reporting and analytics to support patient care, quality, performance, financial flows and service development. To underpin these objectives, the Data Engineering Teams purpose is to firstly build, develop and assure the Trusts Data Platform and secondly to use modern technologies, tools & techniques to leverage this asset for the organisation. The Lead Data Engineer will contribute to the development and delivery of Data Warehousing, Reporting and Analytics output. They will enable data (from NHS data sets e.g. relating to acute activity) to be appropriately shared and disseminated within operational reports, published Management Information or Official Statistics. Main duties of the job The Lead Data Engineer more »

Data & Reporting Engineer - Power BI & Azure | £65,000 | Hybrid (3 days in office) We're partnering with a fast-growing leader in the nuclear sector to find a Data & Reporting Engineer who is passionate about business intelligence and eager to contribute to a company … months and half-day Fridays. Key Responsibilities: Lead the design and development of BI solutions and secure data sets within the Microsoft Azure environment. Execute complex ETL integrations using Azure Data Factory and related technologies. Support business users in creating … Essential Skills: 5+ years of experience in data engineering or business intelligence roles. Strong proficiency in SQL Server, SSRS, SSIS, and Microsoft Azure technologies. Hands-on experience with ETL processes using tools like SSIS and ADF. Solid understanding of GDPR and data management best more »