The role involves designing and building scalable data platforms to support advanced analytics, forecasting, and customer retention initiatives. The professional will develop robust ETL/ELT pipelines and integrate complex data sources from various transactional systems. Responsibilities include creating high-quality, model-ready datasets and implementing data quality frameworks to ensure reliability. The position requires close collaboration with analytics and business teams to support operational reporting and advanced modeling. Additionally, the role focuses on designing dimensional and semantic data models to facilitate effective decision-making.

Candidates must possess at least five years of experience in data engineering or a related field. Required technical expertise includes hands-on proficiency in Python and SQL, as well as experience building ETL/ELT pipelines within cloud environments, specifically Azure. Applicants must demonstrate the ability to design data models for forecasting and customer retention, along with experience in data integration and quality validation. Furthermore, an advanced level of English proficiency is required for cross-functional and client-facing collaboration.