2 of 2 Permanent Data Integration Jobs in Southampton

Role Title: Senior Data Engineer Department: IT and Business Change Reports To: Lead Stack Azure BI Developer Contract Type: Permanent Working Arrangements/Pattern: Full Time, 35 hours Working Location: FatFace HQ, Havant Who are we? For over 30 years, we’ve travelled, we’ve laughed, we’ve grown. We believe life is for living and more fun with … an environment free from prejudice, racism, sexism, harassment, bullying and any other form of marginalisation in our workplaces. Role Summary This role requires an experienced and technically skilled Senior Data Engineer to play a key role in our Data & Reporting team and drive the transformation of reporting services and data infrastructure, whilst acting as a mentor to … Engineers. You’ll be accountable for developing and optimising our Azure-based data warehouse and pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services) models and architecture. You will lead ETL processes, ensure high data quality, and enable robust, scalable data solutions. You will facilitate data from multiple custom internal and More ❯

from prejudice, racism, sexism, harassment, bullying and any other form of marginalisation in our workplaces. Role Summary The Azure Stack BI Developer will play a key role in managing data integrations between our business and our parent company, ensuring the accuracy, reliability, and high quality of data outputs. This role involves designing and developing ETL solutions, maintaining our … data architecture, and supporting critical business processes. The ideal candidate will have a strong technical background, as well as excellent communication skills to engage with both technical and non-technical stakeholders. Role Responsibilities Support and manage integrations between our company and the parent company, ensuring smooth data exchanges and process flows. Design and develop ETL solutions that are … robust, scalable, and efficient, focusing on accuracy and data consistency. Maintain and optimize existing data architecture, ensuring data integrity and performance are maintained to the highest standards. Validate and quality-check all outputs before delivering data to stakeholders, ensuring high levels of accuracy and reliability. Collaborate with both internal and external stakeholders to gather requirements, convey More ❯