Recruiter for this role: Britney Dias
Purpose of the job The Data Science and Engineering Team works within the broader Collinson Central Data Team but is directly related to our Valuedynamx division, the division is in charge of managing, operating and servicing loyalty ecommerce programs. This involves working across multiple datasets (of varying scale and complexity), multiple teams and businesses to build appropriately styled, data-driven solutions to a commercial-product level. This role focuses on collecting, parsing, managing and analysing large sets of data to turn information into insights using multiple platforms.
The Data Engineer will decide on the needed infrastructure and software design needs of the department and provide recommendations for building solutions. The Data Engineer should be able to develop prototypes and proof of concepts for the selected solutions. Key
Integration Specification & Design Design, develop, and maintain robust data pipelines to ingest, transform, and load data into multiple data stores Write efficient, scalable, and maintainable code, primarily using Python and PySpark Collaborate closely with internal stakeholders to understand data requirements and deliver effective solutions Resolve day-to-day technical challenges independently, without the need for constant guidance Provide proactive, professional, and reliable technical support when required Produce high-quality technical documentation to support deliv