OverviewWe’re looking for a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will enable seamless data integration, transformation, and reporting across diverse sources. This is a strategic, hands-on opportunity and ideal for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions.ResponsibilitiesLead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data.Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs.Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting.Modernise and manage databases, ensuring performance optimisation, governance standards, and scalable architecture across regions and environments.Oversee cloud operations and resilience, including usage optimisation, disaster recovery, and data archiving in line with governance and retention policies.Deliver high-quality documentation and collaboration, leading data mapping, model design, and cross-functional workshops to support platform migration and ongoing delivery.Qualifications6–10 years experience with SQL Server (including T-SQL and performance tuning).Proven background in ETL/ELT design (ideally using Azure Data Factory).Hands on experience with cloud-based data ingestion and transformation (preferably Azure).Familiarity with Azure Medallion architecture or similar layered data models.Integration experience using APIs, SFTP, and file-based systems.Proficient with Power Automate, SharePoint, and Office 365 integrations.Basic C# or PowerShell for automation or custom integration tasks.Experienced in SQL optimization, troubleshooting, and scalability.Cloud certification (Azure Practitioner or similar) is advantageous.Additional DetailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Information TechnologyIndustries: Hospitality, Retail, and Restaurants #J-18808-Ljbffr