6 of 6 Permanent Enterprise Data Warehouse Jobs in London

DATA ENGINEER Up to £60,000+ Benefits London (Hybrid) This is a great opportunity to join a high-impact regulatory organisation where you can take ownership of large-scale data platform modernisation and transformation initiatives. THE COMPANY: This organisation operates at the heart of the UK healthcare landscape … ensuring high standards of professional practice and safeguarding public health. They are currently undergoing an ambitious transformation of their data and technology function, with substantial investment being made into modern cloud technologies, data platforms, and analytics capabilities. This transformation is enabling the organisation to unlock greater value from ...

DATA ENGINEER Up to £60,000+ BenefitsLondon (Hybrid) This is a great opportunity to join a high-impact regulatory organisation where you can take ownership of large-scale data platform modernisation and transformation initiatives. THE COMPANY: This company is in the healthcare sector, ensuring high standards of practice … safeguarding public health. They are currently undertaking a major transformation of their data and technology function, investing heavily in modern cloud-based data platforms to enhance reporting, operational insights, and regulatory decision-making. THE ROLE: You will take ownership of end-to-end data engineering across enterprise ...

Principal Data Architect - GCP London-based | Salary £115k-125k About the Opportunity Our client is a leading cloud, data, and AI consultancy that helps organisations transform their businesses through modern data platforms, advanced analytics, and machine learning solutions. Working with enterprise clients across multiple industries, they … design and deliver innovative cloud-native solutions that enable businesses to unlock value from their data and accelerate digital transformation. This is an opportunity to join a highly skilled team of data professionals working at the forefront of cloud technologies, data engineering, analytics, and AI. The Role ...

Data Engineer Hybrid working The successful candidate will have strong experience in SQL Server Integration Services (SSIS) , data warehousing, and ETL development, with a proven ability to integrate data from multiple source systems into a unified enterprise data warehouse. You will work closely with Data … subject matter experts, and business stakeholders throughout the analysis, development, testing, and implementation lifecycle. Key Responsibilities Support analysis and design activities, including mapping source data to existing data models and contributing to the design of database schemas and SSIS packages. Redevelop and enhance ETL processes in line with ...

Drive the future of analytics and data intelligence by designing architectures that turn raw data into actionable insights at scale. As a Senior Analytics Solutions Architect, you'll partner with customers to architect end-to-end analytics platforms from data lakes and lakehouses to real-time streaming … analytics portfolio including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation challenges whether migrating from legacy on-premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML-ready ...

Drive the future of analytics and data intelligence by designing architectures that turn raw data into actionable insights at scale. As a Senior Analytics Solutions Architect, you'll partner with customers to architect end-to-end analytics platforms from data lakes and lakehouses to real-time streaming … analytics portfolio including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation challenges whether migrating from legacy on-premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML-ready ...