2 of 2 Part-Time Data Management Jobs in the City of London

Our client, a global financial institution, is looking for a Salesforce Data Cloud/D360 Expert to join their team in London. This is a greenfield project, the ideal candidate will have the experience of implementing, deploying and configuring D360 within a large global corporation, will have overcome a few complications and learnt how to avoid them and will … Credits and how to ensure effective costing/pricing. This is an initial 3-6 month hybrid contract with a good possibility of extending, offices in central London. Responsibilities Data Management & Strategy: Design and implement data management strategies using Salesforce Data Cloud. Ensure data integrity, quality, and security across various data sources. Integration … Optimization: Develop and maintain data integration processes between Salesforce Data Cloud and other systems, utilizing APIs for seamless data flow. Optimize existing data workflows and processes to improve efficiency. Analytics & Reporting: Create and manage dashboards and reports within Salesforce Data Cloud to provide actionable insights. Analyse data trends and patterns to support business objectives. More ❯

Geospatial Data Architect (Data Modelling | EA Sparx) Outside IR35 | Remote | 500-550 SR2 is partnered with a leading consultancy delivering a national-scale geospatial and land data ecosystem for a high-profile public sector client. Were looking for an experienced Geospatial Data Architect to define and govern the data architecture that underpins basemap development, land … data modelling, and platform assessment workstreams. This is a key role shaping how spatial data is modelled, integrated, and managed across a modern, cloud-enabled environment, ensuring data quality, consistency, and interoperability across the ecosystem. Key Responsibilities: Define and document conceptual, logical, and physical data models for geospatial and land data domains using EA Sparx … Establish data standards, attribute schemas, and metadata frameworks to drive consistency across a common spatial framework Design data management solutions that support both batch and streaming processes, with clear handling of current and historical data Conduct gap analysis between existing datasets and future platform requirements Define and validate integration points, APIs, and interoperability standards between systems More ❯