2 of 2 Remote Data Fabric Jobs in the City of London

Azure Data Engineer – Hybrid/London – Up to £72k + 10% bonus Recann is recruiting on behalf of a leading international professional services firm seeking a skilled and proactive Azure Data Engineer to join its collaborative Data team. This role will be at the forefront of optimising the organisation’s data infrastructure on Microsoft Azure, enabling … data-driven decision-making and supporting critical business functions. What you’ll be doing Building and maintaining scalable data pipelines using Azure Data Factory, Azure Data Fabric, and Azure Synapse Analytics. Developing robust ELT/ETL processes to integrate data from multiple business systems. Ensuring data consistency, security, and compliance (including GDPR). … reporting teams with clean, structured datasets. Collaborating with IT, Finance Systems, Marketing, and other business areas to deliver solutions. What we’re looking for 4+ years’ experience in Azure data engineering. Strong skills with Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database. Proficiency in Python, PySpark, SQL, or Scala. Data modelling More ❯

Role: SAP Data & Analytics Consultant HR Location: London, UK Is it Permanent/Contract: open for both Is it Onsite/Remote/Hybrid: Onsite Overview We are seeking a highly experienced SAP Data & Analytics Lead with 10–12+ years of expertise in SAP data solutions, particularly SAP Datasphere and SAP Analytics Cloud (SAC). The ideal … candidate will have strong functional and technical experience in Finance data modeling and analytics, along with hands-on development skills. A proven ability to lead design, implementation, and end-to-end delivery of SAP Data & Analytics solutions is essential. Responsibilities: Lead the design, architecture, and implementation of enterprise-level data models and analytics solutions using SAP Datasphere … and SAC. Build, optimize, and maintain data pipelines, ODS models, and data integration(In/out) in Datasphere for various Finance and cross-functional domains. Collaborate closely with Finance stakeholders to understand requirements and translate them into scalable, efficient data models and analytical reports. Provide hands-on development in Datasphere, data fabric, and SAC, including More ❯