Remote Data Engineer: Scalable Pipelines for ML & Analytics

Sporty is seeking a Data Engineer to design, build, test, optimise and maintain data pipelines and architectures for ML and data science initiatives. You will work on scalable ETL and near-real-time data processing across diverse data sources and collaborate with data scientists, MLOps, product owners and BI analysts.

The role emphasizes data quality, architecture refinement and internal process improvements to handle increasing data volumes.