2 of 2 Remote Data Mapping Jobs in the Midlands

platform, the system that lets buyers choose upgrades and finishes for their new products. The current platform works well on the front end but suffers from a complex, inconsistent data structure at the back end. This project will modernise that platform from the ground up ensuring data is structured correctly, flows seamlessly into core business systems, and supports … future analytics. The Role SF Technology is supporting the search for a Data Mapping & Integration Analyst to sit between the business, the application development team, and the data function. This is not a developer role, it’s a hands-on data design and mapping position, focused on how data is captured, structured, and shared … across systems. You’ll unpick the current state, define the to-be data model, and ensure the rebuild is grounded in solid data architecture from day one. Key Responsibilities Analyse and document as-is data structures (JSON, SQL) from the legacy configurator application. Design and define the to-be data model, capturing key entities, relationships, and More ❯

Data Engineer - SQL Developer Mostly Remote role - Must be able to travel to rugby office 1-2 times per month An established organisation is seeking a talented SQL Data Engineer to join a collaborative and forward-thinking data team. This role is ideal for someone who thrives on solving complex data challenges, enjoys working with diverse … data sources, and takes pride in building scalable, secure and high-performing data solutions. Key Responsibilities Design, develop and maintain SQL databases and data pipelines, ensuring reliability, integrity and optimisation. Create and enhance complex T-SQL queries to support reporting, analytics and system integrations. Develop and maintain data models, mapping processes and documentation to support … enterprise data architecture. Collaborate with analysts, data architects and technical teams to understand business requirements and deliver fit-for-purpose data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations More ❯