2 of 2 Data Management Jobs in Rotherham

We are on the lookout for a Data Engineer with a robust background in SQL Server and ideally Azure Data Factory. The ideal candidate will have a wealth of experience in business intelligence, data modelling, and visualisation, and will be proficient in Agile Scrum Development methodology. This pivotal role involves leading the development of business intelligence solutions … hybrid based in Goldthorpe, with on-site presence 2-3 times weekly. Day to Day of the role: Lead the development of BI Solution Architecture, Replication Warehouse, and secure data sets using the Microsoft application stack. Create and maintain secure data sets for systems, enabling Key users to produce reports. Perform ETL integrations and support tasks using Azure … Data Factory (ADF) and other technologies. Coach and mentor junior BI professionals. Test and modify new data sets and reports to ensure reliability and operational continuity. Address data integrity, quality, and robustness issues in legacy/system data to enhance reporting. Develop and update BI process maps that underpin system architecture and configuration. Drive excellence through More ❯

Employer description: The Money Group is a dynamic organisation with 25 internal staff and over 300 self-employed professionals under its umbrella. We operate across multiple departments including data, software and sales and utilise a range of technologies such as Office 365, Power BI, Podeo CRM and Slack. We are committed to innovation and growth, and we’re now … looking to welcome a motivated apprentice to join our data team. Overview: This is an exciting opportunity for an aspiring data professional to gain hands-on experience while studying towards a nationally recognised qualification. You will begin by supporting the Finance team with data management tasks and gradually expand your responsibilities across various departments including sales … and web data. Responsibilities: Assist with data entry, cleansing, and validation tasks. Support the Finance team with data organisation and reporting. Collaborate with cross-functional teams including sales and marketing. Help manage and analyse data from internal systems and websites. Use tools such as Excel, Google Sheets, and Power BI to generate insights. Participate in internal meetings More ❯