2 of 2 Remote Azure Data Factory Jobs in South Yorkshire

A growing Microsoft Partner Consultancy are looking for a passionate Data Engineer join their impressive team, and work on cutting-edge projects for a variety of customers. The role is home-based, with some element of travel to client sites when required, and to company conferences and events (expenses-paid). For this reason, they're able to … consider candidates across the UK. This role sits within their specialist Data Practice - where you'll work as part of an Agile team to deliver modern data solutions for their clients, enabling better decision-making and driving innovation. You'll work on projects end-to-end, from running workshops to gather requirements, through to solution design … development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more. This role would be More ❯

Data Engineer - Remote-First - UK-Based - Up to £50,000 Are you a passionate Data Engineer looking to make a real impact in a fast-growing, values-driven tech company? We're working with a leading Microsoft Cloud specialist that's renowned for its inclusive culture, commitment to excellence, and collaborative ethos. This is a fantastic … opportunity to join a high-performing agile team where your strengths will be recognised and nurtured. You'll be hands-on with cutting-edge Azure technologies, helping clients unlock the full potential of their data. Work Style: Remote-first with occasional travel to client sites and company events Location: UK-based Employment Type: Permanent, Full-Time What You … ll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem More ❯