Data Engineer

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Description

Join the team responsible for powering the data and machine learning capabilities behind millions of customer experiences at ASOS. As part of the Data Science Platform group within Nishantha's organisation, you will help build and evolve the core data infrastructure that enables Data Scientists, ML Engineers and Analysts across Forecasting, Recommendations, Pricing, Marketing and Customer domains to develop, deploy and operate data-driven products at scale. This is an opportunity to work on a modern Azure-based data platform, solving large-scale data engineering challenges focused on scalability, reliability, performance and developer experience. Your work will directly support the delivery of machine learning and analytics capabilities across ASOS. What you’ll be doing Designing and building data platform capabilities that support data and machine learning workloads across ASOS. Developing high-performance data pipelines and processing frameworks using Python, Scala, Spark and Databricks. Owning and evolving platform components that help engineers and data scientists build, test, deploy and monitor data products. Improving platform reliability, observability, data quality and operational excellence. Creating reusable libraries, tooling and engineering patterns that enable teams to deliver data products more efficiently. Partnering with Data Scientists, ML Engineers and Product Engineering teams to solve data challenges and enable new machine learning use cases. Contributing

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