2 of 2 Part-Time Geospatial Data Jobs in London

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 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 More ❯