6 ETL Jobs in South Yorkshire

Business Intelligence/Analytics (Power BI). They will have experience with Microsoft BI stack, relational database and SQL experience alongside experience working with ETL and/or data integration tools (preferably Informatica). Experience working in an agile environment (preferably with Azure DevOps) is also essential. Experience within the more »

of proven professional experience in Business Intelligence, Analytics or any other relevant technical field, preferably using Power BI Knowledge of data modelling, OLAP and ETL frameworks Strong relational database and SQL experience (Microsoft SQL Server, T-SQL) Experience with data visualization tools (Tableau, Power BI or Qlik) Experience of working more »

concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data-intensive applications. Familiarity with data modeling, ETL processes, and data integration techniques. Proficiency in programming languages commonly used in cloud environments (e.g., Python, Java). Strong knowledge of security principles and best more »

Over time we will have a Full Lifecycle API Management Framework in place as part of this work. The team also designs and builds ETL pipelines using a modern data and event driven architecture. We provide a central point of expertise to own and manage our integration tools, processes and more »

team of Data Engineers. Responsibilities include: Leading a small team of Data Engineers Being an SME in data warehouse design (including build, migration, and ETL) Ensure high quality of data through setting best practices & conducting checks and validations Stakeholder management & influencing Work closely with the Analytics team to determine best … a small team 5+ years of experience within Data Engineering Proficiency in MS technologies, including: Azure, SQL, Power BI Experience of SSIS and other ETL tools Proven experience in end-end data warehousing The following skills/experience are advantageous: Experience working within the healthcare and/or manufacturing sectors more »

of our systems and data. compliance with data regulations, particularly GDPR, and implement best practices for data governance. data engineering projects, including data modeling, ETL processes, and data pipeline development. data warehousing solutions, optimizing for performance, scalability, and reliability. Cloud Engineering efforts, leveraging AWS services for infrastructure and application needs. … medium-sized business environment. in Cyber Security strategies and practices. knowledge of data compliance standards, particularly GDPR. experience in data engineering, including data modeling, ETL processes, and data pipelines. in designing and managing data warehousing solutions. experience in Cloud Engineering, particularly with AWS services. communication skills and the ability to more »