2 of 2 Permanent Data Engineer 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 … 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 More ❯

Full-time, Permanent Basingstoke (Hybrid) £65,000 - £75,000 Reassured are looking for a Data Analytics Engineer to help us unlock the power of data across the business. If you're passionate about turning raw data into actionable insights and building robust data pipelines, this is your chance to make a real impact in a … fast-paced, collaborative environment. As a Data Analytics Engineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a key role … in shaping our Lakehouse architecture. What you'll be doing: Building and optimising data ingestion pipelines using Apache Spark (ideally in Azure Databricks) Designing semantic models and dashboards for business insights Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps environment to More ❯