2 of 2 Remote Data Lake Jobs in Wales

Bristol, Cardiff, Edinburgh, London, Manchester Overview We are seeking to hire experienced Data Solution Architects in the Data & AI Architecture team of Deloitte's AI & Data offering. Data is the key enabler for the rapid growth journey across the Energy Resources & Industrials industries. Our team delivers transformational data solutions to … benefit our clients, their customers and any relevant government agencies or regulators. The Energy Resources & Industrial industry is undergoing a significant transformation, driven by the increasing importance of data and analytics. Enterprises are turning to decentralised data management approaches such as Data Mesh and disruptive technologies to build innovative and domain-oriented data … designing and implementing complex data solutions across areas such as data integration, data modelling, data management and governance, data Lake/Lakehouse/Data Mesh, data engineering, analytics, AI/GenAI, observability, cloud, security. Experience aligning data architecture blueprints across business units and More ❯

Data Engineer – 3 Month Contract – Hybrid – Cardiff VIQU have partnered with an NHS client who are seeking a Data Engineer to support an ongoing project. The successful Data Engineer will support the modernisation of the data estate, migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping … the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply DevOps (ADO, GitHub) and Agile practices for delivery. Key skills & experience: Strong experience with SQL Server, T-SQL, and SSIS. Hands-on with Azure SQL, Data Factory, Synapse, and Data Lake. Track record More ❯