We are seeking a Data Engineer with expertise in data architecture and modelling to drive the design and optimisation of our enterprise data platform in a dynamic logistics environment. This role blends hands on engineering with the shaping of the data platform architecture, ensuring scalability, data quality, and strategic alignment with business objectives.The incumbent will be responsible for building and refining enterprise data models that unify information from diverse sources including internal systems, ERP platforms, IoT sensor streams, and third-party data, ensuring that our platform supports high quality, accessible and trusted data.The focus will span across data modelling, integration and architecture, ensuring that the platform can support real-time analytics, predictive insights and machine learning at scale. This includes designing efficient schemas, implementing semantic layers, centralising business logic, and building data pipelines that adhere to a medallion architecture within Azure Synapse Analytics.Furthermore, the incumbent will collaborate with analytics and business stakeholders, translate complex requirements into performant, robust, and future proof data solutions as well as develop indexing and partitioning strategies, optimise data models for query efficiency and contribute to the creation of feature stores that power analytics and machine learning applications.
