Data Engineer

Job description

Purpose of position Data sits at the heart of the company. This role is to ensure that Awin can leverage the data it has access to across the group and build out reporting to ensure we are able to make better commercial decisions and provide best-in-class campaign management to support client-facing departments. As a Data Engineer , your role focuses on designing, building, and optimizing scalable data pipelines, curated datasets, and analytical data models within Azure, AWS, and Databricks environments. The position involves working with largescale datasets, improving performance and reliability, and translating business logic into well-structured tables, metrics, and transformation rules. The role also supports analytics teams through the delivery of high-quality, well documented datasets and ensures strong operational monitoring, data quality, and engineering best practices. Key Responsibilities: Data Engineering & Pipelines: - Build and maintain ETL/ELT pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. - Develop production ready notebooks, workflows, and data lake integrations. - Apply best practices for Spark optimization (partitioning, caching, avoiding shuffle,...